How to use f2 method in Airtest

1/*2​x=r sin(φ)cos(θ)3​y=r sin(φ)sin(θ)4​z=r cos(φ)5*/6/* DATA SAMPLE TEMPLATE7{8  Thermo1 Object Temp,9  Thermo2 Object Temp,10  Thermo3 Object Temp,11  Thermo4 Object Temp,12  Distance,13  Pitch,14  Roll,15  Acc X,16  Acc Y,17  Acc Z,18  Thermo Ave. Device Temp,19  Time Stamp,20  Hand,21  Target,22  on/off Target Observed23}*/24var preProcess = 2; //THERMOPILE PREPROCESSING NORMALIZATION METHOD SELECTION25//sensor data object26var state = {};27    // Web Bluetooth connection -->28$( document ).ready(function() {29    button = document.getElementById("connect");30    message = document.getElementById("message");31});32//connection flag33var bluetoothDataFlag = false;34if ( 'bluetooth' in navigator === false ) {35    button.style.display = 'none';36    message.innerHTML = 'This browser doesn\'t support the <a href="https://developer.mozilla.org/en-US/docs/Web/API/Web_Bluetooth_API" target="_blank">Web Bluetooth API</a> :(';37}38const services = {39    controlService: {40        name: 'control service',41        uuid: '0000a000-0000-1000-8000-00805f9b34fb'42    }43}44const characteristics = {45    commandReadCharacteristic: {46        name: 'command read characteristic',47        uuid: '0000a001-0000-1000-8000-00805f9b34fb'48    },49    commandWriteCharacteristic: {50        name: 'command write characteristic',51        uuid: '0000a002-0000-1000-8000-00805f9b34fb'52    },53    deviceDataCharacteristic: {54        name: 'imu data characteristic',55        uuid: '0000a003-0000-1000-8000-00805f9b34fb'56    }57}58var _this;59var state = {};60var previousPose;61var sendCommandFlag = false; //global to keep track of when command is sent back to device62//let commandValue = new Uint8Array([0x01,0x03,0x02,0x03,0x01]);   //command to send back to device63let commandValue = new Uint8Array([0x99]); //command to send back to device64class ControllerWebBluetooth {65    constructor(name) {66        _this = this;67        this.name = name;68        this.services = services;69        this.characteristics = characteristics;70        this.standardServer;71    }72    connect() {73        return navigator.bluetooth.requestDevice({74            filters: [{75                        name: this.name76                    },77                    {78                        services: [services.controlService.uuid]79                    }80                ]81            })82            .then(device => {83                console.log('Device discovered', device.name);84                return device.gatt.connect();85            })86            .then(server => {87                console.log('server device: ' + Object.keys(server.device));88                this.getServices([services.controlService, ], [characteristics.commandReadCharacteristic, characteristics.commandWriteCharacteristic, characteristics.deviceDataCharacteristic], server);89            })90            .catch(error => {91                console.log('error', error)92            })93    }94    getServices(requestedServices, requestedCharacteristics, server) {95        this.standardServer = server;96        requestedServices.filter((service) => {97            if (service.uuid == services.controlService.uuid) {98                _this.getControlService(requestedServices, requestedCharacteristics, this.standardServer);99            }100        })101    }102    getControlService(requestedServices, requestedCharacteristics, server) {103        let controlService = requestedServices.filter((service) => {104            return service.uuid == services.controlService.uuid105        });106        let commandReadChar = requestedCharacteristics.filter((char) => {107            return char.uuid == characteristics.commandReadCharacteristic.uuid108        });109        let commandWriteChar = requestedCharacteristics.filter((char) => {110            return char.uuid == characteristics.commandWriteCharacteristic.uuid111        });112        // Before having access to IMU, EMG and Pose data, we need to indicate to the Myo that we want to receive this data.113        return server.getPrimaryService(controlService[0].uuid)114            .then(service => {115                console.log('getting service: ', controlService[0].name);116                return service.getCharacteristic(commandWriteChar[0].uuid);117            })118            .then(characteristic => {119                console.log('getting characteristic: ', commandWriteChar[0].name);120                // return new Buffer([0x01,3,emg_mode,imu_mode,classifier_mode]);121                // The values passed in the buffer indicate that we want to receive all data without restriction;122                //  let commandValue = new Uint8Array([0x01,0x03,0x02,0x03,0x01]);123                //this could be config info to be sent to the wearable device124                let commandValue = new Uint8Array([0x99]);125                //   characteristic.writeValue(commandValue); //disable initial write to device126            })127            .then(_ => {128                let deviceDataChar = requestedCharacteristics.filter((char) => {129                    return char.uuid == characteristics.deviceDataCharacteristic.uuid130                });131                console.log('getting service: ', controlService[0].name);132                _this.getdeviceData(controlService[0], deviceDataChar[0], server);133            })134            .catch(error => {135                console.log('error: ', error);136            })137    }138    sendControlService(requestedServices, requestedCharacteristics, server) {139        let controlService = requestedServices.filter((service) => {140            return service.uuid == services.controlService.uuid141        });142        let commandReadChar = requestedCharacteristics.filter((char) => {143            return char.uuid == characteristics.commandReadCharacteristic.uuid144        });145        let commandWriteChar = requestedCharacteristics.filter((char) => {146            return char.uuid == characteristics.commandWriteCharacteristic.uuid147        });148        // Before having access to sensor, we need to indicate to the Tingle that we want to receive this data.149        return server.getPrimaryService(controlService[0].uuid)150            .then(service => {151                console.log('getting service: ', controlService[0].name);152                return service.getCharacteristic(commandWriteChar[0].uuid);153            })154            .then(characteristic => {155                console.log('getting write command to device characteristic: ', commandWriteChar[0].name);156                // return new Buffer([0x01,3,emg_mode,imu_mode,classifier_mode]);157                // The values passed in the buffer indicate that we want to receive all data without restriction;158                let commandValue = new Uint8Array([0x99]);159                getConfig();160                commandValue[0] = targetCommand;161                console.log("CONFIG target:" + activeTarget + "  command:" + commandValue[0]);162                characteristic.writeValue(commandValue);163            })164            .then(_ => {165                //  let deviceDataChar = requestedCharacteristics.filter((char) => {return char.uuid == characteristics.deviceDataCharacteristic.uuid});166                console.log("COMMAND SENT TO DEVICE");167                sendCommandFlag = false;168                //   console.log('getting service: ', controlService[0].name);169                //  _this.getdeviceData(controlService[0], deviceDataChar[0], server);170            })171            .catch(error => {172                sendCommandFlag = false;173                console.log("COMMAND SEND ERROR");174                console.log('error: ', error);175            })176    }177    handleDeviceDataChanged(event) {178        //byteLength of deviceData DataView object is 20.179        // deviceData return {{orientation: {w: *, x: *, y: *, z: *}, accelerometer: Array, gyroscope: Array}}180        let deviceData = event.target.value;181    let accelerometerRoll   = ( (event.target.value.getUint8(0) / 255) * 360 );182    let accelerometerPitch  = ( (event.target.value.getUint8(1) / 255) * 360 );183    let proximity           = (event.target.value.getUint8(2) );184    let objectTemp1         = (event.target.value.getUint8(3) / 8) + 70;185    let objectTemp2         = (event.target.value.getUint8(4) / 8) + 70;186    let objectTemp3         = (event.target.value.getUint8(5) / 8) + 70;187    let objectTemp4         = (event.target.value.getUint8(6) / 8) + 70;188    let ambientAverage      = (event.target.value.getUint8(7) / 8) + 70;189    let batteryVoltage          = (event.target.value.getUint8(8) );190    let deviceCommand       = (event.target.value.getUint8(9) );191    let accelerometerX      = (event.target.value.getUint8(10) / 100) - 1;192    let accelerometerY      = (event.target.value.getUint8(11) / 100) - 1;193    let accelerometerZ      = (event.target.value.getUint8(12) / 100) - 1;194    let objectTemp1norm        = (event.target.value.getUint8(13) / 255 );195    let objectTemp2norm        = (event.target.value.getUint8(14) / 255 );196    let objectTemp3norm        = (event.target.value.getUint8(15) / 255 );197    let objectTemp4norm        = (event.target.value.getUint8(16) / 255 );198    let deviceNN5           = (event.target.value.getUint8(17) / 255 );199    let deviceNN7           = (event.target.value.getUint8(18) / 255 );200    console.log(accelerometerRoll + " " + accelerometerPitch + " " + proximity + " " + objectTemp1 + " " + objectTemp2 + " " + objectTemp3 + " " + objectTemp4 + " " + objectTemp1norm + " " + objectTemp2norm + " " + objectTemp3norm + " " + objectTemp4norm + " " + ambientAverage + " " + batteryVoltage);201    console.log("DEVICE NN5: " + deviceNN5 + " DEVICE NN7: " + deviceNN7);202        var data = {203            accelerometer: {204                pitch: accelerometerPitch,205                roll: accelerometerRoll,206                x: accelerometerX,207                y: accelerometerY,208                z: accelerometerZ209            },210            objectTemp: {211                a: objectTemp1,212                b: objectTemp2,213                c: objectTemp3,214                d: objectTemp4,215                e: objectTemp1norm,216                f: objectTemp2norm,217                g: objectTemp3norm,218                h: objectTemp4norm219            },220            ambientTemp: {221                a: ambientAverage222            },223            proximityData: {224                a: proximity225            },226            batteryData: {227                a: batteryVoltage228            },229            detectionData: {230                a: deviceNN5,231                b: deviceNN7232            }233        }234        state = {235            orientation: data.orientation,236            accelerometer: data.accelerometer,237            objectTemp: data.objectTemp,238            ambientTemp: data.ambientTemp,239            proximityData: data.proximityData,240            battery: data.batteryData,241            deviceDetect: data.detectionData242        }243        //move this out of state change 244        if (sendCommandFlag) {245            //this.standardServer = server;246            for (var i = 0; i < 3; i++) {247                //  sendControlService();248                _this.sendControlService([services.controlService, ], [characteristics.commandReadCharacteristic, characteristics.commandWriteCharacteristic, characteristics.deviceDataCharacteristic], _this.standardServer);249            }250            sendCommandFlag = false;251        }252        _this.onStateChangeCallback(state);253    }254    onStateChangeCallback() {}255    getdeviceData(service, characteristic, server) {256        return server.getPrimaryService(service.uuid)257            .then(newService => {258                console.log('getting characteristic: ', characteristic.name);259                return newService.getCharacteristic(characteristic.uuid)260            })261            .then(char => {262                char.startNotifications().then(res => {263                    char.addEventListener('characteristicvaluechanged', _this.handleDeviceDataChanged);264                })265            })266    }267    onStateChange(callback) {268        _this.onStateChangeCallback = callback;269    }270}271/*******************************************************************************************************************272 *********************************************** INITIALIZE *********************************************************273 ********************************************************************************************************************/274//sensor array sample data275var sensorDataArray = new Array(18).fill(0);276var masterDataArray = new Array(42);277for (var i = 0; i < masterDataArray.length; i++) {278  masterDataArray[i] = new Array;279}280var batteryVoltage;281var selectedTargetNum = 0;                   //starting target number index282var selectedTargetName = "sh-r-eyes-select"; //starting target ID283//sensor array sample data FOR CUSTOM TRAINING284var NN1TrueDataArray = new Array;285var NN1FalseDataArray = new Array;286var NN2TrueDataArray = new Array;287var NN2FalseDataArray = new Array;288var NN1Architecture = 'none';289var NN2Architecture = 'none';290var NN1NumInputs = 5;291var NN2NumInputs = 7;292//master session data array of arrays293var sensorDataSession = [];294//which samples in the session data array are part of a particular sample set295var sessionSampleSetIndex = [];296var getSamplesFlag = 0;297var getSamplesTypeFlag = 0; //0=none 1=NN1T 2=NN1F 3=NN2T 4=NN2F298//do we have a trained NN to apply to live sensor data?299var haveNNFlag1 = false;300var trainNNFlag1 = false;301var activeNNFlag1 = false;302var haveNNFlag2 = false;303var trainNNFlag2 = false;304var activeNNFlag2 = false;305//stored MM models306var loadNNFlag = false;307var loadNNTargetSelect;308var loadNNData5 = new Array(500).fill(0);309var loadNNData7 = new Array(575).fill(0);310//NN scores311var scoreArray = new Array(1).fill(0);312var scoreArraySmooth = new Array(2);313scoreArraySmooth[0] = 0.5;314scoreArraySmooth[1] = 0.5;315var pastDataNN1 = new Array(5).fill(0.5);316var pastDataNN2 = new Array(5).fill(0.5);317var initialised = false;318var timeout = null;319$(document).ready(function() {320    /*******************************************************************************************************************321     *********************************************** WEB BLUETOOTH ******************************************************322     ********************************************************************************************************************/323    //Web Bluetooth connection button and ongoing device data update function324    button.onclick = function(e) {325        var sensorController = new ControllerWebBluetooth("Tingle");326        sensorController.connect();327        //ON SENSOR DATA UPDATE328        sensorController.onStateChange(function(state) {329            bluetoothDataFlag = true;330        });331        //check for new data every X milliseconds - this is to decouple execution from Web Bluetooth actions332        setInterval(function() {333            //     bluetoothDataFlag = getBluetoothDataFlag();334            if (bluetoothDataFlag == true) {335                //      state = getState();336                /*    objectTempData = state.objectTemp;337                    proximityData = state.proximityData;338                    accelerometerData = state.accelerometer;339                    ambientTempData = state.ambientTemp;340                    heartRateData = state.heartRate; */341                timeStamp = new Date().getTime();342                //load data into global array343                sensorDataArray = new Array(18).fill(0);344                sensorDataArray[0] = state.objectTemp.a.toFixed(1);345                sensorDataArray[1] = state.objectTemp.b.toFixed(1);346                sensorDataArray[2] = state.objectTemp.c.toFixed(1);347                sensorDataArray[3] = state.objectTemp.d.toFixed(1);348                sensorDataArray[4] = state.proximityData.a.toFixed(1);349                sensorDataArray[5] = state.accelerometer.pitch.toFixed(1);350                sensorDataArray[6] = state.accelerometer.roll.toFixed(1);351                sensorDataArray[7] = state.accelerometer.x.toFixed(2);352                sensorDataArray[8] = state.accelerometer.y.toFixed(2);353                sensorDataArray[9] = state.accelerometer.z.toFixed(2);354                sensorDataArray[10] = state.ambientTemp.a.toFixed(2);355                sensorDataArray[11] = state.objectTemp.e.toFixed(4);356                sensorDataArray[12] = state.objectTemp.f.toFixed(4);357                sensorDataArray[13] = state.objectTemp.g.toFixed(4);358                sensorDataArray[14] = state.objectTemp.h.toFixed(4);359                sensorDataArray[15] = timeStamp;360                batteryVoltage = state.battery.a.toFixed(2);361                //update time series chart362                var rawThermo1Chart = ((sensorDataArray[0] - 76) / 24);363                var rawThermo2Chart = ((sensorDataArray[1] - 76) / 24);364                var rawThermo3Chart = ((sensorDataArray[2] - 76) / 24);365                var rawThermo4Chart = ((sensorDataArray[3] - 76) / 24);366                var rawPitchChart = (sensorDataArray[5] / 400);367                var rawRollChart = (sensorDataArray[6] / 400);368                var rawProximityChart = (sensorDataArray[4] / 270);369                //sensor values in bottom 2/3 of chart , 1/10 height each370                rawThermo1Chart = (rawThermo1Chart / 4.5) + 5.5 * 0.1;371                rawThermo2Chart = (rawThermo2Chart / 4.5) + 5 * 0.1;372                rawThermo3Chart = (rawThermo3Chart / 4.5) + 4.5 * 0.1;373                rawThermo4Chart = (rawThermo4Chart / 4.5) + 4 * 0.1;374                rawPitchChart = (rawPitchChart / 7) + 3 * 0.1;375                rawRollChart = (rawRollChart / 7) + 2 * 0.1;376                rawProximityChart = (rawProximityChart / 10) + 1 * 0.1;377                lineThermo1.append(timeStamp, rawThermo1Chart);378                lineThermo2.append(timeStamp, rawThermo2Chart);379                lineThermo3.append(timeStamp, rawThermo3Chart);380                lineThermo4.append(timeStamp, rawThermo4Chart);381                linePitch.append(timeStamp, rawPitchChart);382                lineRoll.append(timeStamp, rawRollChart);383                lineProximity.append(timeStamp, rawProximityChart);384                //if data sample collection has been flagged385                //  getSensorData();386                if (getSamplesFlag > 0) {387                    collectData();388                } else if (trainNNFlag1 || trainNNFlag2) {389                    //don't do anything390                } else {391                    if (haveNNFlag1 && activeNNFlag1) { //we have a NN and we want to apply to current sensor data392                        getNNScore(1);393                    } else if( loadNNFlag ){ //run loaded model394                        getNNScore(1);395                    }396                    if (haveNNFlag2 && activeNNFlag2) { //we have a NN and we want to apply to current sensor data397                        getNNScore(2);398                    } else if( loadNNFlag ){ //run loaded model399                        getNNScore(2);400                    } 401                }402                displayData();403                bluetoothDataFlag = false;404            }405        }, 200); // throttle 100 = 10Hz limit406    }407    /*******************************************************************************************************************408    **************************************** STREAMING SENSOR DATA CHART ***********************************************409    *******************************************************************************************************************/410    //add smoothie.js time series streaming data chart411    var chartHeight = 100;412    var chartWidth = $(window).width();413    $("#streaming-data-chart").html('<canvas id="chart-canvas" width="' + chartWidth + '" height="' + chartHeight + '"></canvas>');414    var streamingChart = new SmoothieChart({/*  grid: { strokeStyle:'rgb(125, 0, 0)', fillStyle:'rgb(60, 0, 0)', lineWidth: 1, millisPerLine: 250, verticalSections: 6, }, labels: { fillStyle:'rgb(60, 0, 0)' } */ });415streamingChart.streamTo(document.getElementById("chart-canvas"), 350 /*delay*/ );416    var lineThermo1 = new TimeSeries();417    var lineThermo2 = new TimeSeries();418    var lineThermo3 = new TimeSeries();419    var lineThermo4 = new TimeSeries();420    var linePitch = new TimeSeries();421    var lineRoll = new TimeSeries();422    var lineProximity = new TimeSeries();423    var lineNN1 = new TimeSeries();424    var lineNN2 = new TimeSeries();425    var lineNN1Smooth = new TimeSeries();426    var lineNN2Smooth = new TimeSeries();427    var lineNN1Var = new TimeSeries();428    var lineNN2Var = new TimeSeries();429    var lineNNAv = new TimeSeries();430    streamingChart.addTimeSeries(lineThermo1, {431        strokeStyle: 'rgb(133, 87, 35)',432        lineWidth: 3433    });434    streamingChart.addTimeSeries(lineThermo2, {435        strokeStyle: 'rgb(185, 156, 107)',436        lineWidth: 3437    });438    streamingChart.addTimeSeries(lineThermo3, {439        strokeStyle: 'rgb(143, 59, 27)',440        lineWidth: 3441    });442    streamingChart.addTimeSeries(lineThermo4, {443        strokeStyle: 'rgb(213, 117, 0)',444        lineWidth: 3445    });446    streamingChart.addTimeSeries(linePitch, {447        strokeStyle: 'rgb(128, 128, 128)',448        lineWidth: 3449    });450    streamingChart.addTimeSeries(lineRoll, {451        strokeStyle: 'rgb(240, 240, 240)',452        lineWidth: 3453    });454    streamingChart.addTimeSeries(lineProximity, {455        strokeStyle: 'rgb(128, 128, 255)',456        lineWidth: 3457    });458    streamingChart.addTimeSeries(lineNN1, {459        strokeStyle: 'rgb(72, 244, 68)',460        lineWidth: 4461    });462    streamingChart.addTimeSeries(lineNN2, {463        strokeStyle: 'rgb(244, 66, 66)',464        lineWidth: 4465    });466    streamingChart.addTimeSeries(lineNN1Smooth, {467        strokeStyle: 'rgb(58, 230, 54)',468        lineWidth: 3469    });470    streamingChart.addTimeSeries(lineNN2Smooth, {471        strokeStyle: 'rgb(230, 52, 52)',472        lineWidth: 3473    });474    streamingChart.addTimeSeries(lineNN1Var, {475        strokeStyle: 'rgb(38, 210, 32)',476        lineWidth: 3477    });478    streamingChart.addTimeSeries(lineNN2Var, {479        strokeStyle: 'rgb(210, 30, 30)',480        lineWidth: 3481    });482    streamingChart.addTimeSeries(lineNNAv, {483        strokeStyle: 'rgb(255, 0, 255)',484        lineWidth: 4485    });486    //min/max streaming chart button487    $('#circleDrop').click(function() {488        $('.card-middle').slideToggle();489        $('.close').toggleClass('closeRotate');490        var chartHeight = $(window).height() / 1.2;491        var chartWidth = $(window).width();492        if ($("#chart-size-button").hasClass('closeRotate')) {493            $("#streaming-data-chart").html('<canvas id="chart-canvas" width="' + chartWidth + '" height="' + chartHeight + '"></canvas>');494        } else {495            $("#streaming-data-chart").html('<canvas id="chart-canvas" width="' + chartWidth + '" height="' + 100 + '"></canvas>');496        }497        //hide controls498        $("#basic-interface-container, #hand-head-ui-container, #nn-slide-controls, .console, #interface-controls, #dump-print, #record-controls").toggleClass("hide-for-chart");499        //redraw chart500        streamingChart.streamTo(document.getElementById("chart-canvas"), 350 /*delay*/ );501    });502    function displayData() {503        var objectTempElement1 = document.getElementsByClassName('object-temp-1-data')[0];504        objectTempElement1.innerHTML = sensorDataArray[0];505        var objectTempElement2 = document.getElementsByClassName('object-temp-2-data')[0];506        objectTempElement2.innerHTML = sensorDataArray[1];507        var objectTempElement3 = document.getElementsByClassName('object-temp-3-data')[0];508        objectTempElement3.innerHTML = sensorDataArray[2];509        var objectTempElement4 = document.getElementsByClassName('object-temp-4-data')[0];510        objectTempElement4.innerHTML = sensorDataArray[3];511        var proximityElement = document.getElementsByClassName('proximity-data')[0];512        proximityElement.innerHTML = sensorDataArray[4];513        var accelerometerPitchDiv = document.getElementsByClassName('accelerometer-pitch-data')[0];514        accelerometerPitchDiv.innerHTML = sensorDataArray[5];515        var accelerometerRollDiv = document.getElementsByClassName('accelerometer-roll-data')[0];516        accelerometerRollDiv.innerHTML = sensorDataArray[6];517        var accelerometerXElement = document.getElementsByClassName('accelerometer-x-data')[0];518        accelerometerXElement.innerHTML = sensorDataArray[7];519        var accelerometerYElement = document.getElementsByClassName('accelerometer-y-data')[0];520        accelerometerYElement.innerHTML = sensorDataArray[8];521        var accelerometerZElement = document.getElementsByClassName('accelerometer-z-data')[0];522        accelerometerZElement.innerHTML = sensorDataArray[9];523        var ambientTempAverageElement = document.getElementsByClassName('ambient-temp-average-data')[0];524        ambientTempAverageElement.innerHTML = sensorDataArray[10];525        var batteryDataElement = document.getElementsByClassName('battery-data')[0];526        batteryDataElement.innerHTML = batteryVoltage;527    }528    function updateSampleCountDisplay() {529        $('.message-nn1-true').html(NN1TrueDataArray.length);530        $('.message-nn1-false').html(NN1FalseDataArray.length);531        $('.message-nn2-true').html(NN2TrueDataArray.length);532        $('.message-nn2-false').html(NN2FalseDataArray.length);533    }534    /**********************************************************************************************************535    ********************************** COLLECT SENSOR DATA  ***************************************************536    **********************************************************************************************************/537    function collectData() {538        var collectedDataArray = new Array(18).fill(0); //12 device 539        collectedDataArray = sensorDataArray;540        console.log("web bluetooth sensor data:");541        console.dir(collectedDataArray);542        //add sample to set543        sensorDataSession.push(collectedDataArray);544        //add to master545        masterDataArray[selectedTargetNum].push(sensorDataArray);546        $( "span[data='" + selectedTargetNum + "']" ).html(masterDataArray[selectedTargetNum].length);547        if (getSamplesTypeFlag == 1) {548            //add to master549         //   masterDataArray[selectedTargetNum].push(collectedDataArray);550         //   $( "span[data='" + selectedTargetNum + "']" ).html(masterDataArray[selectedTargetNum].length);551            NN1TrueDataArray.push(collectedDataArray);552            $('.message-nn1-true').html(NN1TrueDataArray.length);553        } else if (getSamplesTypeFlag == 2) {554            NN1FalseDataArray.push(collectedDataArray);555            $('.message-nn1-false').html(NN1FalseDataArray.length);556        } else if (getSamplesTypeFlag == 3) {557            NN2TrueDataArray.push(collectedDataArray);558            $('.message-nn2-true').html(NN2TrueDataArray.length);559        } else if (getSamplesTypeFlag == 4) {560            NN2FalseDataArray.push(collectedDataArray);561            $('.message-nn2-false').html(NN2FalseDataArray.length);562        }563        console.log("Set Index: ");564        console.dir(sessionSampleSetIndex);565        //countdown for data collection566        getSamplesFlag = getSamplesFlag - 1;567    }568    /*******************************************************************************************************************569     *********************************************** NEURAL NETWORKS ****************************************************570     ********************************************************************************************************************/571    /**572     * Attach synaptic neural net components to app object573     */574    var nnRate =        $("#rate-input").val();575    var nnIterations =  $("#iterations-input").val();576    var nnError =       $("#error-input").val();577    // ************** NEURAL NET #1578    var Neuron = synaptic.Neuron;579    var Layer = synaptic.Layer;580    var Network = synaptic.Network;581    var Trainer = synaptic.Trainer;582    var Architect = synaptic.Architect;583    var neuralNet = new Architect.LSTM(5, 5, 2, 1);584    var trainer = new Trainer(neuralNet);585    var trainingData;586    // ************* NEURAL NET #2587    var Neuron2 = synaptic.Neuron;588    var Layer2 = synaptic.Layer;589    var Network2 = synaptic.Network;590    var Trainer2 = synaptic.Trainer;591    var Architect2 = synaptic.Architect;592    var neuralNet2 = new Architect2.LSTM(7, 5, 2, 1);593    var trainer2 = new Trainer2(neuralNet2);594    var trainingData2;595    /**********************************************************************************************************596    ********************************** GET NEURAL NETWORK MODEL SCORE *****************************************597    **********************************************************************************************************/598    function getNNScore(selectNN) {599        var scoreArray = new Array(1).fill(0);600        var timeStamp = new Date().getTime();601        var displayScore;602        if (selectNN == 1) {603            var feedArray = new Array(5).fill(0);604            if(preProcess == 1){605	            feedArray[0] = sensorDataArray[0] / 101;606	            feedArray[1] = sensorDataArray[1] / 101;607	            feedArray[2] = sensorDataArray[2] / 101;608	            feedArray[3] = sensorDataArray[3] / 101; 609	        } else if(preProcess == 2) {610                feedArray[0] = (sensorDataArray[0] - 69) / (101 - 69);611                feedArray[1] = (sensorDataArray[1] - 69) / (101 - 69);612                feedArray[2] = (sensorDataArray[2] - 69) / (101 - 69);613                feedArray[3] = (sensorDataArray[3] - 69) / (101 - 69);614            } else if(preProcess == 3) {615	            feedArray[0] = sensorDataArray[11];616	            feedArray[1] = sensorDataArray[12];617	            feedArray[2] = sensorDataArray[13];618	            feedArray[3] = sensorDataArray[14]; 619	        } else if(preProcess == 4) {620	        	var thermSampAv = ( (parseFloat(sensorDataArray[0]) - 69) + (parseFloat(sensorDataArray[1]) - 69) + (parseFloat(sensorDataArray[2]) - 69) + (parseFloat(sensorDataArray[3]) - 69)) / 4;621	        	feedArray[0] = (sensorDataArray[0] - 69) / thermSampAv - 0.5;622	            feedArray[1] = (sensorDataArray[1] - 69) / thermSampAv - 0.5;623	            feedArray[2] = (sensorDataArray[2] - 69) / thermSampAv - 0.5;624	            feedArray[3] = (sensorDataArray[3] - 69) / thermSampAv - 0.5; 625	        } else if(preProcess == 5) {626                var thermSampMin = Math.min( parseFloat(sensorDataArray[0]), Math.min( parseFloat(sensorDataArray[1]), Math.min( parseFloat(sensorDataArray[2]), parseFloat(sensorDataArray[3]) ) ) );627                feedArray[0] = (sensorDataArray[0] - 69) / (thermSampMin - 69);628                feedArray[1] = (sensorDataArray[1] - 69) / (thermSampMin - 69);629                feedArray[2] = (sensorDataArray[2] - 69) / (thermSampMin - 69);630                feedArray[3] = (sensorDataArray[3] - 69) / (thermSampMin - 69);631            }632            feedArray[4] = sensorDataArray[4] / 250;633            // use trained NN or loaded NN634            if (haveNNFlag1 && activeNNFlag1) {635                scoreArray = neuralNet.activate(feedArray); //RUN TRAINED NN MODEL636            } else if (loadNNFlag) {637                scoreArray = runStoredModel5(feedArray);    //RUN STORED NN MODEL638            }639            console.log("NN1 FEED ARRAY: " + feedArray);640            console.log("NN1 SCORE ARRAY: " + scoreArray);641            displayScore = scoreArray[0].toFixed(4) * 100;642            displayScore = displayScore.toFixed(2);643            $(".message-nn1-score").html(displayScore + '%');644            var rawLineNN1Chart = scoreArray[0].toFixed(4);645            rawLineNN1Chart = (rawLineNN1Chart / 2) + 0.7;646            lineNN1.append(timeStamp, rawLineNN1Chart);647            //RUNNING AVERAGE648            scoreArraySmooth[0] = (parseFloat(scoreArraySmooth[0]) + parseFloat(scoreArray[0]) ) / 2;649            var rawLineNN1ChartSmooth = scoreArraySmooth[0].toFixed(4);650            rawLineNN1ChartSmooth = (rawLineNN1ChartSmooth / 2) + 0.7;651            lineNN1Smooth.append(timeStamp, rawLineNN1ChartSmooth);652            console.log("rawLineNN1ChartSmooth: " + rawLineNN1ChartSmooth);653            //VARIANCE654            //update historical data and calcualte average655            var NN1Av = 0;656            for(var j = 0; j < 4; j++){ 657            	pastDataNN1[j] = pastDataNN1[j + 1]; 658            	NN1Av = NN1Av + pastDataNN1[j + 1];659            }660            pastDataNN1[4] = parseFloat(scoreArray[0]);661            NN1Av = (NN1Av + pastDataNN1[4]) / 5;662            //calculate variance663            var NN1Var = 0;664	        for(var k = 0; k < 5; k++){ 665	        	NN1Var = NN1Var + Math.abs(NN1Av - pastDataNN1[k]);666	        }667	        NN1Var = NN1Var / 5;668	        lineNN1Var.append(timeStamp, NN1Var);669	        console.log("NN1 Variance: " + (NN1Var * 100));670        } else if (selectNN == 2) {671            var feedArray = new Array(7).fill(0);672            if(preProcess == 1){673	            feedArray[0] = sensorDataArray[0] / 101;674	            feedArray[1] = sensorDataArray[1] / 101;675	            feedArray[2] = sensorDataArray[2] / 101;676	            feedArray[3] = sensorDataArray[3] / 101; 677	        } else if(preProcess == 2) {678                feedArray[0] = (sensorDataArray[0] - 69) / (101 - 69);679                feedArray[1] = (sensorDataArray[1] - 69) / (101 - 69);680                feedArray[2] = (sensorDataArray[2] - 69) / (101 - 69);681                feedArray[3] = (sensorDataArray[3] - 69) / (101 - 69);682            } else if(preProcess == 3) {683	            feedArray[0] = sensorDataArray[11];684	            feedArray[1] = sensorDataArray[12];685	            feedArray[2] = sensorDataArray[13];686	            feedArray[3] = sensorDataArray[14]; 687	        } else if(preProcess == 4) {688	        	var thermSampAv = ( (parseFloat(sensorDataArray[0]) - 69) + (parseFloat(sensorDataArray[1]) - 69) + (parseFloat(sensorDataArray[2]) - 69) + (parseFloat(sensorDataArray[3]) - 69)) / 4;689	        	feedArray[0] = (sensorDataArray[0] - 69) / thermSampAv - 0.5;690	            feedArray[1] = (sensorDataArray[1] - 69) / thermSampAv - 0.5;691	            feedArray[2] = (sensorDataArray[2] - 69) / thermSampAv - 0.5;692	            feedArray[3] = (sensorDataArray[3] - 69) / thermSampAv - 0.5; 693	        } else if(preProcess == 5) {694                var thermSampMin = Math.min( parseFloat(sensorDataArray[0]), Math.min( parseFloat(sensorDataArray[1]), Math.min( parseFloat(sensorDataArray[2]), parseFloat(sensorDataArray[3]) ) ) );695                feedArray[0] = (sensorDataArray[0] - 69) / (thermSampMin - 69);696                feedArray[1] = (sensorDataArray[1] - 69) / (thermSampMin - 69);697                feedArray[2] = (sensorDataArray[2] - 69) / (thermSampMin - 69);698                feedArray[3] = (sensorDataArray[3] - 69) / (thermSampMin - 69);699            }700            feedArray[4] = sensorDataArray[4] / 250;701            feedArray[5] = sensorDataArray[5] / 360;702            feedArray[6] = sensorDataArray[6] / 360;703            if (haveNNFlag2 && activeNNFlag2) {704                scoreArray = neuralNet2.activate(feedArray);    //RUN TRAINED NN MODEL705            } else if (loadNNFlag) {706                scoreArray = runStoredModel7(feedArray);        //RUN STORED NN MODEL707            }708            console.log("NN2 FEED ARRAY: " + feedArray);709            console.log("NN2 SCORE ARRAY: " + scoreArray);710            displayScore = scoreArray[0].toFixed(4) * 100;711            displayScore = displayScore.toFixed(2);712            $(".message-nn2-score").html(displayScore + '%');713            var rawLineNN2Chart = scoreArray[0].toFixed(4);714            rawLineNN2Chart = (rawLineNN2Chart / 2) + 0.7;715            lineNN2.append(timeStamp, rawLineNN2Chart);716            //RUNNING AVERAGE717            scoreArraySmooth[1] = ( parseFloat(scoreArraySmooth[1]) + parseFloat(scoreArraySmooth[1]) + parseFloat(scoreArray[0]) ) / 3;718            var rawLineNN2ChartSmooth = scoreArraySmooth[1].toFixed(4);719            rawLineNN2ChartSmooth = (rawLineNN2ChartSmooth / 2) + 0.7;720            lineNN2Smooth.append(timeStamp, rawLineNN2ChartSmooth);721            console.log("rawLineNN2ChartSmooth: " + rawLineNN2ChartSmooth);722            //VARIANCE723            //update historical data and calcualte average724            var NN2Av = 0;725            for(var j = 0; j < 4; j++){ 726            	pastDataNN2[j] = pastDataNN2[j + 1]; 727            	NN2Av = NN2Av + pastDataNN2[j + 1];728            }729            pastDataNN2[4] = parseFloat(scoreArray[0]);730            NN2Av = (NN2Av + pastDataNN2[4]) / 5;731            //calculate variance732            var NN2Var = 0;733	        for(var k = 0; k < 5; k++){ 734	        	NN2Var = NN2Var + Math.abs(NN2Av - pastDataNN2[k]);735	        }736	        NN2Var = NN2Var / 5;737	        lineNN2Var.append(timeStamp, NN2Var);738	        console.log("NN2 Variance: " + (NN2Var * 100));739	        //PLOT AVERAGE OF NN1 and NN2740	        var rawLineNNAv = ( parseFloat(scoreArraySmooth[0]) + parseFloat(scoreArraySmooth[1]) ) / 2;741	        rawLineNNAv = (rawLineNNAv / 2) + 0.7;742	        lineNNAv.append(timeStamp, rawLineNNAv);743	    }744    }745    /**********************************************************************************************************746    ********************************** TRAIN NEURAL NETWORK MODEL *********************************************747    **********************************************************************************************************/748    function trainNN(selectNN) {749        //'5:2:1', '5:5:1', '5:5:2:1', '5:5:5:1', '7:2:1', '7:7:1', '7:7:2:1', '7:7:7:1'750        //  var processedDataSession = sensorDataSession;751        var processedDataSession = new Array;752        var falseDataArray = new Array;753        var trueDataArray = new Array;754        trainingData = new Array;755        trainingData2 = new Array;756        nnRate = $("#rate-input").val();757        nnIterations = $("#iterations-input").val();758        nnError = $("#error-input").val();759    /*    if (selectNN == 1) {760            trueDataArray = NN1TrueDataArray;761            falseDataArray = NN1FalseDataArray;762        } else if (selectNN == 2) {763            trueDataArray = NN2TrueDataArray;764            falseDataArray = NN2FalseDataArray;765        }   */766        /* cycle the position text field inputs */767        console.log("***FINDING DATA TO TRAIN AGAINST***");768        $( ".target-select-text" ).each(function() {769            var positionSelectedSampleTotal = parseInt( $( this ).val() );770            var falseSelectElementID = $(this).attr("id"); 771            console.log(falseSelectElementID + " : " + positionSelectedSampleTotal);772            if(positionSelectedSampleTotal > 0){773                var falseSelectElementIndex = parseInt( $(this).attr("num") );774           //     var falseSelectElementID = parseInt( $(this).attr("id") );775                var falseSelectLength = masterDataArray[falseSelectElementIndex].length;776                console.log("** " + positionSelectedSampleTotal + " SAMPLES FROM " + falseSelectElementID);777                console.log("false select length: " + falseSelectLength);778                //asking for more data than exists779                if(positionSelectedSampleTotal >= falseSelectLength){780                    for(var j = 0; j < falseSelectLength; j++){781                        falseDataArray.push(masterDataArray[falseSelectElementIndex][j]);782                    }783                } else {784                /*	var j=0;785                    while(j < positionSelectedSampleTotal){786                    	var oneQuartPlace = Math.round( (falseSelectLength / 4) * 1) + j - 1;  //get data from different places787                        var midPlace = Math.round( (falseSelectLength / 4) * 2) + j - 1;788                        var threeQuartPlace = Math.round( (falseSelectLength / 4) * 3) + j - 1;789                        console.log("quarter place:" + oneQuartPlace + " half place:" + midPlace + " three quarter place:" + threeQuartPlace);790                        if(j < positionSelectedSampleTotal){ falseDataArray.push(masterDataArray[falseSelectElementIndex][j]); j++;791                        792		                    if(j < positionSelectedSampleTotal && oneQuartPlace < falseSelectLength){ falseDataArray.push(masterDataArray[falseSelectElementIndex][oneQuartPlace]); j++; 793		                        794		                    	if(j < positionSelectedSampleTotal && midPlace < falseSelectLength){ falseDataArray.push(masterDataArray[falseSelectElementIndex][midPlace]); j++; 795		                    		if(j < positionSelectedSampleTotal && threeQuartPlace < falseSelectLength){ falseDataArray.push(masterDataArray[falseSelectElementIndex][threeQuartPlace]); j++; }796		                    	}797		                    }798		                }799                    } */800                    var trackRandom = new Array(2000).fill(0);801                    var countFalseSamples = 0;802                    while(countFalseSamples < positionSelectedSampleTotal){803                        //random sample in target position array of samples804                        var randomSampleIndex = Math.floor(Math.random() * falseSelectLength) + 1;805                        //make sure we haven't used this data point yet806                        if(trackRandom[(randomSampleIndex - 1)] == 0){807                            falseDataArray.push(masterDataArray[falseSelectElementIndex][(randomSampleIndex - 1)]);808                            //done with that sample, make note in tracking array809                            trackRandom[(randomSampleIndex - 1)] = 1;810                            countFalseSamples++;811                        }812                    }813                }814            }815        });816        console.log("TRAINING AGAINST " + falseDataArray.length + " SAMPLES");817        console.log("FALSE DATA: " + falseDataArray);818        //true data is currently selected target819        trueDataArray = masterDataArray[selectedTargetNum];820                //ADD DUPLICATE TRUE DATA IF MORE FALSE DATA THAN TRUE DATA821        var trueDataCounter = 0;822        while(falseDataArray.length >  trueDataArray.length){823            trueDataArray.push(masterDataArray[selectedTargetNum][trueDataCounter]);824            trueDataCounter++;825            if(trueDataCounter > (masterDataArray[selectedTargetNum].length - 1)) trueDataCounter = 0;826        }827        console.log("TRAINING FOR " + trueDataArray.length + "TARGET SAMPLES");828        //combine true and false data829        var addSample = new Array(18).fill(0);830        for (var j = 0; j < trueDataArray.length; j++) {831            addSample = trueDataArray[j];832            addSample[17] = 1; //true833            processedDataSession.push(addSample);834        }835        for (var k = 0; k < falseDataArray.length; k++) {836            addSample = falseDataArray[k];837            addSample[17] = 0; //false838            processedDataSession.push(addSample);839        }840            neuralNet = new Architect.LSTM(5, 5, 2, 1);841            trainer = new Trainer(neuralNet);842            neuralNet2 = new Architect.LSTM(7, 5, 2, 1);843            trainer2 = new Trainer2(neuralNet2);844        for (var i = 0; i < processedDataSession.length; i++) {845            var currentSample = processedDataSession[i];846            var outputArray = new Array(1).fill(0);847            outputArray[0] = currentSample[17]; //true or false848            var inputArray = new Array(5).fill(0);849	        if(preProcess == 1){850	            inputArray[0] = currentSample[0] / 101;851	            inputArray[1] = currentSample[1] / 101;852	            inputArray[2] = currentSample[2] / 101;853	            inputArray[3] = currentSample[3] / 101; 854	        } else if(preProcess == 2) {855                inputArray[0] = (currentSample[0] - 69) / (101 - 69);856                inputArray[1] = (currentSample[1] - 69) / (101 - 69);857                inputArray[2] = (currentSample[2] - 69) / (101 - 69);858                inputArray[3] = (currentSample[3] - 69) / (101 - 69);859            } else if(preProcess == 3) {860	            inputArray[0] = currentSample[11];861	            inputArray[1] = currentSample[12];862	            inputArray[2] = currentSample[13];863	            inputArray[3] = currentSample[14]; 864	        } else if(preProcess == 4) {865	        	var thermSampAv = ( (parseFloat(currentSample[0]) - 69) + (parseFloat(currentSample[1]) - 69)  + (parseFloat(currentSample[2]) - 69)  + (parseFloat(currentSample[3]) - 69) ) / 4;866	        	console.log("average for norm: " + thermSampAv);867	        	inputArray[0] = ( (currentSample[0] - 69) / thermSampAv) - 0.5;868	            inputArray[1] = ( (currentSample[1] - 69) / thermSampAv) - 0.5;869	            inputArray[2] = ( (currentSample[2] - 69) / thermSampAv) - 0.5;870	            inputArray[3] = ( (currentSample[3] - 69) / thermSampAv) - 0.5; 871	        } else if(preProcess == 5) {872                var thermSampMin = Math.min( parseFloat(currentSample[0]), Math.min( parseFloat(currentSample[1]), Math.min( parseFloat(currentSample[2]), parseFloat(currentSample[3]) ) ) );873                inputArray[0] = (currentSample[0] - 69) / (thermSampMin - 69);874                inputArray[1] = (currentSample[1] - 69) / (thermSampMin - 69);875                inputArray[2] = (currentSample[2] - 69) / (thermSampMin - 69);876                inputArray[3] = (currentSample[3] - 69) / (thermSampMin - 69);877            }878            inputArray[4] = currentSample[4] / 250;879            var inputArray2 = new Array(7).fill(0);880	        if(preProcess == 1){881	            inputArray2[0] = currentSample[0] / 101;882	            inputArray2[1] = currentSample[1] / 101;883	            inputArray2[2] = currentSample[2] / 101;884	            inputArray2[3] = currentSample[3] / 101; 885	        } else if(preProcess == 2) {886                inputArray2[0] = (currentSample[0] - 69) / (101 - 69);887                inputArray2[1] = (currentSample[1] - 69) / (101 - 69);888                inputArray2[2] = (currentSample[2] - 69) / (101 - 69);889                inputArray2[3] = (currentSample[3] - 69) / (101 - 69);890            } else if(preProcess == 3) {891	            inputArray2[0] = currentSample[11];892	            inputArray2[1] = currentSample[12];893	            inputArray2[2] = currentSample[13];894	            inputArray2[3] = currentSample[14]; 895	        } else if(preProcess == 4) {896	        	var thermSampAv = ( (parseFloat(currentSample[0]) - 69) + (parseFloat(currentSample[1]) - 69) + (parseFloat(currentSample[2]) - 69) + (parseFloat(currentSample[3]) - 69)) / 4;897	        	inputArray2[0] = ( (currentSample[0] - 69) / thermSampAv) - 0.5;898	            inputArray2[1] = ( (currentSample[1] - 69) / thermSampAv) - 0.5;899	            inputArray2[2] = ( (currentSample[2] - 69) / thermSampAv) - 0.5;900	            inputArray2[3] = ( (currentSample[3] - 69) / thermSampAv) - 0.5; 901	        } else if(preProcess == 5) {902                var thermSampMin = Math.min( parseFloat(currentSample[0]), Math.min( parseFloat(currentSample[1]), Math.min( parseFloat(currentSample[2]), parseFloat(currentSample[3]) ) ) );903                inputArray2[0] = (currentSample[0] - 69) / (thermSampMin - 69);904                inputArray2[1] = (currentSample[1] - 69) / (thermSampMin - 69);905                inputArray2[2] = (currentSample[2] - 69) / (thermSampMin - 69);906                inputArray2[3] = (currentSample[3] - 69) / (thermSampMin - 69);907            }908            inputArray2[4] = currentSample[4] / 250;909            inputArray2[5] = currentSample[5] / 360;910            inputArray2[6] = currentSample[6] / 360;911            trainingData.push({912                input: inputArray,913                output: outputArray914            });915            trainingData2.push({916                input: inputArray2,917                output: outputArray918            });919            console.log(currentSample + " TRAINING INPUT: " + inputArray + "  --> NN# " + selectNN);920            console.log(currentSample + " TRAINING OUTPUT: " + outputArray + "  --> NN# " + selectNN);921        }922            console.log("TRAINING ON selectNN1 --> interations:" + nnIterations + "  error:" + nnError + "  rate:" + nnRate);923            trainer.train(trainingData, {924                rate: nnRate,925                iterations: nnIterations,926                error: nnError,927                shuffle: true,928                log: 5,929                cost: Trainer.cost.CROSS_ENTROPY930            });931            //we have a trained NN to use932            haveNNFlag1 = true;933            trainNNFlag1 = false;934            $('#activate-btn').addClass("haveNN");935            $('#export-btn').addClass("haveNN");936            console.log("TRAINING ON selectNN2");937            trainer2.train(trainingData2, {938                rate: nnRate,939                iterations: nnIterations,940                error: nnError,941                shuffle: true,942                log: 5,943                cost: Trainer2.cost.CROSS_ENTROPY944            });945            //we have a trained NN to use946            haveNNFlag2 = true;947            trainNNFlag2 = false;948            $('#activate2-btn').addClass("haveNN");949            $('#export2-btn').addClass("haveNN");950    }951    952    /********************************************************************************************************************953    *********************************************** RUN STORED MODEL ****************************************************954    ********************************************************************************************************************/955    function runStoredModel5(feedArray){956        var output = [];957        var F1 = loadNNData5;958        F1[3] =     feedArray[0];959        F1[5] =     feedArray[1];960        F1[7] =     feedArray[2];961        F1[9] =     feedArray[3];962        F1[11] =    feedArray[4];963        F1[0] = F1[1];F1[1] = F1[2];F1[1] += F1[3] * F1[4];F1[1] += F1[5] * F1[6];F1[1] += F1[7] * F1[8];F1[1] += F1[9] * F1[10];F1[1] += F1[11] * F1[12];F1[1] += F1[13] * F1[14];F1[1] += F1[15] * F1[16];F1[1] += F1[17] * F1[18];F1[1] += F1[19] * F1[20];F1[1] += F1[21] * F1[22];F1[23] = (1 / (1 + Math.exp(-F1[1])));F1[24] = F1[23] * (1 - F1[23]);F1[25] = F1[23];F1[26] = F1[23];F1[27] = F1[23];F1[28] = F1[23];F1[29] = F1[23];964        F1[30] = F1[31];F1[31] = F1[32];F1[31] += F1[3] * F1[33];F1[31] += F1[5] * F1[34];F1[31] += F1[7] * F1[35];F1[31] += F1[9] * F1[36];F1[31] += F1[11] * F1[37];F1[31] += F1[13] * F1[38];F1[31] += F1[15] * F1[39];F1[31] += F1[17] * F1[40];F1[31] += F1[19] * F1[41];F1[31] += F1[21] * F1[42];F1[43] = (1 / (1 + Math.exp(-F1[31])));F1[44] = F1[43] * (1 - F1[43]);F1[45] = F1[43];F1[46] = F1[43];F1[47] = F1[43];F1[48] = F1[43];F1[49] = F1[43];965        F1[50] = F1[51];F1[51] = F1[52];F1[51] += F1[3] * F1[53];F1[51] += F1[5] * F1[54];F1[51] += F1[7] * F1[55];F1[51] += F1[9] * F1[56];F1[51] += F1[11] * F1[57];F1[51] += F1[13] * F1[58];F1[51] += F1[15] * F1[59];F1[51] += F1[17] * F1[60];F1[51] += F1[19] * F1[61];F1[51] += F1[21] * F1[62];F1[63] = (1 / (1 + Math.exp(-F1[51])));F1[64] = F1[63] * (1 - F1[63]);F1[65] = F1[63];F1[66] = F1[63];F1[67] = F1[63];F1[68] = F1[63];F1[69] = F1[63];966        F1[70] = F1[71];F1[71] = F1[72];F1[71] += F1[3] * F1[73];F1[71] += F1[5] * F1[74];F1[71] += F1[7] * F1[75];F1[71] += F1[9] * F1[76];F1[71] += F1[11] * F1[77];F1[71] += F1[13] * F1[78];F1[71] += F1[15] * F1[79];F1[71] += F1[17] * F1[80];F1[71] += F1[19] * F1[81];F1[71] += F1[21] * F1[82];F1[83] = (1 / (1 + Math.exp(-F1[71])));F1[84] = F1[83] * (1 - F1[83]);F1[85] = F1[83];F1[86] = F1[83];F1[87] = F1[83];F1[88] = F1[83];F1[89] = F1[83];967        F1[90] = F1[91];F1[91] = F1[92];F1[91] += F1[3] * F1[93];F1[91] += F1[5] * F1[94];F1[91] += F1[7] * F1[95];F1[91] += F1[9] * F1[96];F1[91] += F1[11] * F1[97];F1[91] += F1[13] * F1[98];F1[91] += F1[15] * F1[99];F1[91] += F1[17] * F1[100];F1[91] += F1[19] * F1[101];F1[91] += F1[21] * F1[102];F1[103] = (1 / (1 + Math.exp(-F1[91])));F1[104] = F1[103] * (1 - F1[103]);F1[105] = F1[103];F1[106] = F1[103];F1[107] = F1[103];F1[108] = F1[103];F1[109] = F1[103];968        F1[110] = F1[111];F1[111] = F1[112];F1[111] += F1[3] * F1[113];F1[111] += F1[5] * F1[114];F1[111] += F1[7] * F1[115];F1[111] += F1[9] * F1[116];F1[111] += F1[11] * F1[117];F1[111] += F1[13] * F1[118];F1[111] += F1[15] * F1[119];F1[111] += F1[17] * F1[120];F1[111] += F1[19] * F1[121];F1[111] += F1[21] * F1[122];F1[123] = (1 / (1 + Math.exp(-F1[111])));F1[124] = F1[123] * (1 - F1[123]);F1[125] = F1[123];969        F1[126] = F1[127];F1[127] = F1[128];F1[127] += F1[3] * F1[129];F1[127] += F1[5] * F1[130];F1[127] += F1[7] * F1[131];F1[127] += F1[9] * F1[132];F1[127] += F1[11] * F1[133];F1[127] += F1[13] * F1[134];F1[127] += F1[15] * F1[135];F1[127] += F1[17] * F1[136];F1[127] += F1[19] * F1[137];F1[127] += F1[21] * F1[138];F1[139] = (1 / (1 + Math.exp(-F1[127])));F1[140] = F1[139] * (1 - F1[139]);F1[141] = F1[139];970        F1[142] = F1[143];F1[143] = F1[144];F1[143] += F1[3] * F1[145];F1[143] += F1[5] * F1[146];F1[143] += F1[7] * F1[147];F1[143] += F1[9] * F1[148];F1[143] += F1[11] * F1[149];F1[143] += F1[13] * F1[150];F1[143] += F1[15] * F1[151];F1[143] += F1[17] * F1[152];F1[143] += F1[19] * F1[153];F1[143] += F1[21] * F1[154];F1[155] = (1 / (1 + Math.exp(-F1[143])));F1[156] = F1[155] * (1 - F1[155]);F1[157] = F1[155];971        F1[158] = F1[159];F1[159] = F1[160];F1[159] += F1[3] * F1[161];F1[159] += F1[5] * F1[162];F1[159] += F1[7] * F1[163];F1[159] += F1[9] * F1[164];F1[159] += F1[11] * F1[165];F1[159] += F1[13] * F1[166];F1[159] += F1[15] * F1[167];F1[159] += F1[17] * F1[168];F1[159] += F1[19] * F1[169];F1[159] += F1[21] * F1[170];F1[171] = (1 / (1 + Math.exp(-F1[159])));F1[172] = F1[171] * (1 - F1[171]);F1[173] = F1[171];972        F1[174] = F1[175];F1[175] = F1[176];F1[175] += F1[3] * F1[177];F1[175] += F1[5] * F1[178];F1[175] += F1[7] * F1[179];F1[175] += F1[9] * F1[180];F1[175] += F1[11] * F1[181];F1[175] += F1[13] * F1[182];F1[175] += F1[15] * F1[183];F1[175] += F1[17] * F1[184];F1[175] += F1[19] * F1[185];F1[175] += F1[21] * F1[186];F1[187] = (1 / (1 + Math.exp(-F1[175])));F1[188] = F1[187] * (1 - F1[187]);F1[189] = F1[187];973        F1[190] = F1[191];F1[191] = F1[125] * F1[192] * F1[191] + F1[193];F1[191] += F1[3] * F1[194] * F1[25];F1[191] += F1[5] * F1[195] * F1[26];F1[191] += F1[7] * F1[196] * F1[27];F1[191] += F1[9] * F1[197] * F1[28];F1[191] += F1[11] * F1[198] * F1[29];F1[13] = (1 / (1 + Math.exp(-F1[191])));F1[199] = F1[13] * (1 - F1[13]);974        F1[200] = F1[201];F1[201] = F1[141] * F1[202] * F1[201] + F1[203];F1[201] += F1[3] * F1[204] * F1[45];F1[201] += F1[5] * F1[205] * F1[46];F1[201] += F1[7] * F1[206] * F1[47];F1[201] += F1[9] * F1[207] * F1[48];F1[201] += F1[11] * F1[208] * F1[49];F1[15] = (1 / (1 + Math.exp(-F1[201])));F1[209] = F1[15] * (1 - F1[15]);975        F1[210] = F1[211];F1[211] = F1[157] * F1[212] * F1[211] + F1[213];F1[211] += F1[3] * F1[214] * F1[65];F1[211] += F1[5] * F1[215] * F1[66];F1[211] += F1[7] * F1[216] * F1[67];F1[211] += F1[9] * F1[217] * F1[68];F1[211] += F1[11] * F1[218] * F1[69];F1[17] = (1 / (1 + Math.exp(-F1[211])));F1[219] = F1[17] * (1 - F1[17]);976        F1[220] = F1[221];F1[221] = F1[173] * F1[222] * F1[221] + F1[223];F1[221] += F1[3] * F1[224] * F1[85];F1[221] += F1[5] * F1[225] * F1[86];F1[221] += F1[7] * F1[226] * F1[87];F1[221] += F1[9] * F1[227] * F1[88];F1[221] += F1[11] * F1[228] * F1[89];F1[19] = (1 / (1 + Math.exp(-F1[221])));F1[229] = F1[19] * (1 - F1[19]);977        F1[230] = F1[231];F1[231] = F1[189] * F1[232] * F1[231] + F1[233];F1[231] += F1[3] * F1[234] * F1[105];F1[231] += F1[5] * F1[235] * F1[106];F1[231] += F1[7] * F1[236] * F1[107];F1[231] += F1[9] * F1[237] * F1[108];F1[231] += F1[11] * F1[238] * F1[109];F1[21] = (1 / (1 + Math.exp(-F1[231])));F1[239] = F1[21] * (1 - F1[21]);978        F1[240] = F1[241];F1[241] = F1[242];F1[241] += F1[3] * F1[243];F1[241] += F1[5] * F1[244];F1[241] += F1[7] * F1[245];F1[241] += F1[9] * F1[246];F1[241] += F1[11] * F1[247];F1[241] += F1[13] * F1[248];F1[241] += F1[15] * F1[249];F1[241] += F1[17] * F1[250];F1[241] += F1[19] * F1[251];F1[241] += F1[21] * F1[252];F1[253] = (1 / (1 + Math.exp(-F1[241])));F1[254] = F1[253] * (1 - F1[253]);F1[255] = F1[253];979        F1[256] = F1[257];F1[257] = F1[258];F1[257] += F1[3] * F1[259];F1[257] += F1[5] * F1[260];F1[257] += F1[7] * F1[261];F1[257] += F1[9] * F1[262];F1[257] += F1[11] * F1[263];F1[257] += F1[13] * F1[264];F1[257] += F1[15] * F1[265];F1[257] += F1[17] * F1[266];F1[257] += F1[19] * F1[267];F1[257] += F1[21] * F1[268];F1[269] = (1 / (1 + Math.exp(-F1[257])));F1[270] = F1[269] * (1 - F1[269]);F1[271] = F1[269];980        F1[272] = F1[273];F1[273] = F1[274];F1[273] += F1[3] * F1[275];F1[273] += F1[5] * F1[276];F1[273] += F1[7] * F1[277];F1[273] += F1[9] * F1[278];F1[273] += F1[11] * F1[279];F1[273] += F1[13] * F1[280];F1[273] += F1[15] * F1[281];F1[273] += F1[17] * F1[282];F1[273] += F1[19] * F1[283];F1[273] += F1[21] * F1[284];F1[285] = (1 / (1 + Math.exp(-F1[273])));F1[286] = F1[285] * (1 - F1[285]);F1[287] = F1[285];981        F1[288] = F1[289];F1[289] = F1[290];F1[289] += F1[3] * F1[291];F1[289] += F1[5] * F1[292];F1[289] += F1[7] * F1[293];F1[289] += F1[9] * F1[294];F1[289] += F1[11] * F1[295];F1[289] += F1[13] * F1[296];F1[289] += F1[15] * F1[297];F1[289] += F1[17] * F1[298];F1[289] += F1[19] * F1[299];F1[289] += F1[21] * F1[300];F1[301] = (1 / (1 + Math.exp(-F1[289])));F1[302] = F1[301] * (1 - F1[301]);F1[303] = F1[301];982        F1[304] = F1[305];F1[305] = F1[306];F1[305] += F1[3] * F1[307];F1[305] += F1[5] * F1[308];F1[305] += F1[7] * F1[309];F1[305] += F1[9] * F1[310];F1[305] += F1[11] * F1[311];F1[305] += F1[13] * F1[312];F1[305] += F1[15] * F1[313];F1[305] += F1[17] * F1[314];F1[305] += F1[19] * F1[315];F1[305] += F1[21] * F1[316];F1[317] = (1 / (1 + Math.exp(-F1[305])));F1[318] = F1[317] * (1 - F1[317]);F1[319] = F1[317];983        F1[320] = F1[321];F1[321] = F1[322];F1[321] += F1[3] * F1[323];F1[321] += F1[5] * F1[324];F1[321] += F1[7] * F1[325];F1[321] += F1[9] * F1[326];F1[321] += F1[11] * F1[327];F1[321] += F1[13] * F1[328];F1[321] += F1[15] * F1[329];F1[321] += F1[17] * F1[330];F1[321] += F1[19] * F1[331];F1[321] += F1[21] * F1[332];F1[321] += F1[333] * F1[334];F1[321] += F1[335] * F1[336];F1[337] = (1 / (1 + Math.exp(-F1[321])));F1[338] = F1[337] * (1 - F1[337]);F1[339] = F1[337];F1[340] = F1[337];F1[341] = F1[337];F1[342] = F1[337];F1[343] = F1[337];F1[344] = F1[337];F1[345] = F1[337];F1[346] = F1[337];F1[347] = F1[337];F1[348] = F1[337];984        F1[349] = F1[350];F1[350] = F1[351];F1[350] += F1[3] * F1[352];F1[350] += F1[5] * F1[353];F1[350] += F1[7] * F1[354];F1[350] += F1[9] * F1[355];F1[350] += F1[11] * F1[356];F1[350] += F1[13] * F1[357];F1[350] += F1[15] * F1[358];F1[350] += F1[17] * F1[359];F1[350] += F1[19] * F1[360];F1[350] += F1[21] * F1[361];F1[350] += F1[333] * F1[362];F1[350] += F1[335] * F1[363];F1[364] = (1 / (1 + Math.exp(-F1[350])));F1[365] = F1[364] * (1 - F1[364]);F1[366] = F1[364];F1[367] = F1[364];F1[368] = F1[364];F1[369] = F1[364];F1[370] = F1[364];F1[371] = F1[364];F1[372] = F1[364];F1[373] = F1[364];F1[374] = F1[364];F1[375] = F1[364];985        F1[376] = F1[377];F1[377] = F1[378];F1[377] += F1[3] * F1[379];F1[377] += F1[5] * F1[380];F1[377] += F1[7] * F1[381];F1[377] += F1[9] * F1[382];F1[377] += F1[11] * F1[383];F1[377] += F1[13] * F1[384];F1[377] += F1[15] * F1[385];F1[377] += F1[17] * F1[386];F1[377] += F1[19] * F1[387];F1[377] += F1[21] * F1[388];F1[377] += F1[333] * F1[389];F1[377] += F1[335] * F1[390];F1[391] = (1 / (1 + Math.exp(-F1[377])));F1[392] = F1[391] * (1 - F1[391]);F1[393] = F1[391];986        F1[394] = F1[395];F1[395] = F1[396];F1[395] += F1[3] * F1[397];F1[395] += F1[5] * F1[398];F1[395] += F1[7] * F1[399];F1[395] += F1[9] * F1[400];F1[395] += F1[11] * F1[401];F1[395] += F1[13] * F1[402];F1[395] += F1[15] * F1[403];F1[395] += F1[17] * F1[404];F1[395] += F1[19] * F1[405];F1[395] += F1[21] * F1[406];F1[395] += F1[333] * F1[407];F1[395] += F1[335] * F1[408];F1[409] = (1 / (1 + Math.exp(-F1[395])));F1[410] = F1[409] * (1 - F1[409]);F1[411] = F1[409];987        F1[412] = F1[413];F1[413] = F1[393] * F1[414] * F1[413] + F1[415];F1[413] += F1[3] * F1[416] * F1[339];F1[413] += F1[5] * F1[417] * F1[340];F1[413] += F1[7] * F1[418] * F1[341];F1[413] += F1[9] * F1[419] * F1[342];F1[413] += F1[11] * F1[420] * F1[343];F1[413] += F1[13] * F1[421] * F1[344];F1[413] += F1[15] * F1[422] * F1[345];F1[413] += F1[17] * F1[423] * F1[346];F1[413] += F1[19] * F1[424] * F1[347];F1[413] += F1[21] * F1[425] * F1[348];F1[333] = (1 / (1 + Math.exp(-F1[413])));F1[426] = F1[333] * (1 - F1[333]);988        F1[427] = F1[428];F1[428] = F1[411] * F1[429] * F1[428] + F1[430];F1[428] += F1[3] * F1[431] * F1[366];F1[428] += F1[5] * F1[432] * F1[367];F1[428] += F1[7] * F1[433] * F1[368];F1[428] += F1[9] * F1[434] * F1[369];F1[428] += F1[11] * F1[435] * F1[370];F1[428] += F1[13] * F1[436] * F1[371];F1[428] += F1[15] * F1[437] * F1[372];F1[428] += F1[17] * F1[438] * F1[373];F1[428] += F1[19] * F1[439] * F1[374];F1[428] += F1[21] * F1[440] * F1[375];F1[335] = (1 / (1 + Math.exp(-F1[428])));F1[441] = F1[335] * (1 - F1[335]);989        F1[442] = F1[443];F1[443] = F1[444];F1[443] += F1[3] * F1[445];F1[443] += F1[5] * F1[446];F1[443] += F1[7] * F1[447];F1[443] += F1[9] * F1[448];F1[443] += F1[11] * F1[449];F1[443] += F1[13] * F1[450];F1[443] += F1[15] * F1[451];F1[443] += F1[17] * F1[452];F1[443] += F1[19] * F1[453];F1[443] += F1[21] * F1[454];F1[443] += F1[333] * F1[455];F1[443] += F1[335] * F1[456];F1[457] = (1 / (1 + Math.exp(-F1[443])));F1[458] = F1[457] * (1 - F1[457]);F1[459] = F1[457];990        F1[460] = F1[461];F1[461] = F1[462];F1[461] += F1[3] * F1[463];F1[461] += F1[5] * F1[464];F1[461] += F1[7] * F1[465];F1[461] += F1[9] * F1[466];F1[461] += F1[11] * F1[467];F1[461] += F1[13] * F1[468];F1[461] += F1[15] * F1[469];F1[461] += F1[17] * F1[470];F1[461] += F1[19] * F1[471];F1[461] += F1[21] * F1[472];F1[461] += F1[333] * F1[473];F1[461] += F1[335] * F1[474];F1[475] = (1 / (1 + Math.exp(-F1[461])));F1[476] = F1[475] * (1 - F1[475]);F1[477] = F1[475];991        F1[478] = F1[479];F1[479] = F1[480];F1[479] += F1[13] * F1[481] * F1[255];F1[479] += F1[15] * F1[482] * F1[271];F1[479] += F1[17] * F1[483] * F1[287];F1[479] += F1[19] * F1[484] * F1[303];F1[479] += F1[21] * F1[485] * F1[319];F1[479] += F1[333] * F1[486] * F1[459];F1[479] += F1[335] * F1[487] * F1[477];F1[479] += F1[3] * F1[488];F1[479] += F1[5] * F1[489];F1[479] += F1[7] * F1[490];F1[479] += F1[9] * F1[491];F1[479] += F1[11] * F1[492];F1[493] = (1 / (1 + Math.exp(-F1[479])));F1[494] = F1[493] * (1 - F1[493]);992     //   var output = [];993        output[0] = F1[493];994        return output;995    }996    function runStoredModel7(feedArray){997        var output = [];998        var F2 = loadNNData7;999        F2[3] =     feedArray[0];1000        F2[5] =     feedArray[1];1001        F2[7] =      feedArray[2];1002        F2[9] =     feedArray[3];1003        F2[11] =    feedArray[4];1004        F2[13] =    feedArray[5];1005        F2[15] =    feedArray[6];1006        F2[0] = F2[1];F2[1] = F2[2];F2[1] += F2[3] * F2[4];F2[1] += F2[5] * F2[6];F2[1] += F2[7] * F2[8];F2[1] += F2[9] * F2[10];F2[1] += F2[11] * F2[12];F2[1] += F2[13] * F2[14];F2[1] += F2[15] * F2[16];F2[1] += F2[17] * F2[18];F2[1] += F2[19] * F2[20];F2[1] += F2[21] * F2[22];F2[1] += F2[23] * F2[24];F2[1] += F2[25] * F2[26];F2[27] = (1 / (1 + Math.exp(-F2[1])));F2[28] = F2[27] * (1 - F2[27]);F2[29] = F2[27];F2[30] = F2[27];F2[31] = F2[27];F2[32] = F2[27];F2[33] = F2[27];F2[34] = F2[27];F2[35] = F2[27];1007        F2[36] = F2[37];F2[37] = F2[38];F2[37] += F2[3] * F2[39];F2[37] += F2[5] * F2[40];F2[37] += F2[7] * F2[41];F2[37] += F2[9] * F2[42];F2[37] += F2[11] * F2[43];F2[37] += F2[13] * F2[44];F2[37] += F2[15] * F2[45];F2[37] += F2[17] * F2[46];F2[37] += F2[19] * F2[47];F2[37] += F2[21] * F2[48];F2[37] += F2[23] * F2[49];F2[37] += F2[25] * F2[50];F2[51] = (1 / (1 + Math.exp(-F2[37])));F2[52] = F2[51] * (1 - F2[51]);F2[53] = F2[51];F2[54] = F2[51];F2[55] = F2[51];F2[56] = F2[51];F2[57] = F2[51];F2[58] = F2[51];F2[59] = F2[51];1008        F2[60] = F2[61];F2[61] = F2[62];F2[61] += F2[3] * F2[63];F2[61] += F2[5] * F2[64];F2[61] += F2[7] * F2[65];F2[61] += F2[9] * F2[66];F2[61] += F2[11] * F2[67];F2[61] += F2[13] * F2[68];F2[61] += F2[15] * F2[69];F2[61] += F2[17] * F2[70];F2[61] += F2[19] * F2[71];F2[61] += F2[21] * F2[72];F2[61] += F2[23] * F2[73];F2[61] += F2[25] * F2[74];F2[75] = (1 / (1 + Math.exp(-F2[61])));F2[76] = F2[75] * (1 - F2[75]);F2[77] = F2[75];F2[78] = F2[75];F2[79] = F2[75];F2[80] = F2[75];F2[81] = F2[75];F2[82] = F2[75];F2[83] = F2[75];1009        F2[84] = F2[85];F2[85] = F2[86];F2[85] += F2[3] * F2[87];F2[85] += F2[5] * F2[88];F2[85] += F2[7] * F2[89];F2[85] += F2[9] * F2[90];F2[85] += F2[11] * F2[91];F2[85] += F2[13] * F2[92];F2[85] += F2[15] * F2[93];F2[85] += F2[17] * F2[94];F2[85] += F2[19] * F2[95];F2[85] += F2[21] * F2[96];F2[85] += F2[23] * F2[97];F2[85] += F2[25] * F2[98];F2[99] = (1 / (1 + Math.exp(-F2[85])));F2[100] = F2[99] * (1 - F2[99]);F2[101] = F2[99];F2[102] = F2[99];F2[103] = F2[99];F2[104] = F2[99];F2[105] = F2[99];F2[106] = F2[99];F2[107] = F2[99];1010        F2[108] = F2[109];F2[109] = F2[110];F2[109] += F2[3] * F2[111];F2[109] += F2[5] * F2[112];F2[109] += F2[7] * F2[113];F2[109] += F2[9] * F2[114];F2[109] += F2[11] * F2[115];F2[109] += F2[13] * F2[116];F2[109] += F2[15] * F2[117];F2[109] += F2[17] * F2[118];F2[109] += F2[19] * F2[119];F2[109] += F2[21] * F2[120];F2[109] += F2[23] * F2[121];F2[109] += F2[25] * F2[122];F2[123] = (1 / (1 + Math.exp(-F2[109])));F2[124] = F2[123] * (1 - F2[123]);F2[125] = F2[123];F2[126] = F2[123];F2[127] = F2[123];F2[128] = F2[123];F2[129] = F2[123];F2[130] = F2[123];F2[131] = F2[123];1011        F2[132] = F2[133];F2[133] = F2[134];F2[133] += F2[3] * F2[135];F2[133] += F2[5] * F2[136];F2[133] += F2[7] * F2[137];F2[133] += F2[9] * F2[138];F2[133] += F2[11] * F2[139];F2[133] += F2[13] * F2[140];F2[133] += F2[15] * F2[141];F2[133] += F2[17] * F2[142];F2[133] += F2[19] * F2[143];F2[133] += F2[21] * F2[144];F2[133] += F2[23] * F2[145];F2[133] += F2[25] * F2[146];F2[147] = (1 / (1 + Math.exp(-F2[133])));F2[148] = F2[147] * (1 - F2[147]);F2[149] = F2[147];1012        F2[150] = F2[151];F2[151] = F2[152];F2[151] += F2[3] * F2[153];F2[151] += F2[5] * F2[154];F2[151] += F2[7] * F2[155];F2[151] += F2[9] * F2[156];F2[151] += F2[11] * F2[157];F2[151] += F2[13] * F2[158];F2[151] += F2[15] * F2[159];F2[151] += F2[17] * F2[160];F2[151] += F2[19] * F2[161];F2[151] += F2[21] * F2[162];F2[151] += F2[23] * F2[163];F2[151] += F2[25] * F2[164];F2[165] = (1 / (1 + Math.exp(-F2[151])));F2[166] = F2[165] * (1 - F2[165]);F2[167] = F2[165];1013        F2[168] = F2[169];F2[169] = F2[170];F2[169] += F2[3] * F2[171];F2[169] += F2[5] * F2[172];F2[169] += F2[7] * F2[173];F2[169] += F2[9] * F2[174];F2[169] += F2[11] * F2[175];F2[169] += F2[13] * F2[176];F2[169] += F2[15] * F2[177];F2[169] += F2[17] * F2[178];F2[169] += F2[19] * F2[179];F2[169] += F2[21] * F2[180];F2[169] += F2[23] * F2[181];F2[169] += F2[25] * F2[182];F2[183] = (1 / (1 + Math.exp(-F2[169])));F2[184] = F2[183] * (1 - F2[183]);F2[185] = F2[183];1014        F2[186] = F2[187];F2[187] = F2[188];F2[187] += F2[3] * F2[189];F2[187] += F2[5] * F2[190];F2[187] += F2[7] * F2[191];F2[187] += F2[9] * F2[192];F2[187] += F2[11] * F2[193];F2[187] += F2[13] * F2[194];F2[187] += F2[15] * F2[195];F2[187] += F2[17] * F2[196];F2[187] += F2[19] * F2[197];F2[187] += F2[21] * F2[198];F2[187] += F2[23] * F2[199];F2[187] += F2[25] * F2[200];F2[201] = (1 / (1 + Math.exp(-F2[187])));F2[202] = F2[201] * (1 - F2[201]);F2[203] = F2[201];1015        F2[204] = F2[205];F2[205] = F2[206];F2[205] += F2[3] * F2[207];F2[205] += F2[5] * F2[208];F2[205] += F2[7] * F2[209];F2[205] += F2[9] * F2[210];F2[205] += F2[11] * F2[211];F2[205] += F2[13] * F2[212];F2[205] += F2[15] * F2[213];F2[205] += F2[17] * F2[214];F2[205] += F2[19] * F2[215];F2[205] += F2[21] * F2[216];F2[205] += F2[23] * F2[217];F2[205] += F2[25] * F2[218];F2[219] = (1 / (1 + Math.exp(-F2[205])));F2[220] = F2[219] * (1 - F2[219]);F2[221] = F2[219];1016        F2[222] = F2[223];F2[223] = F2[149] * F2[224] * F2[223] + F2[225];F2[223] += F2[3] * F2[226] * F2[29];F2[223] += F2[5] * F2[227] * F2[30];F2[223] += F2[7] * F2[228] * F2[31];F2[223] += F2[9] * F2[229] * F2[32];F2[223] += F2[11] * F2[230] * F2[33];F2[223] += F2[13] * F2[231] * F2[34];F2[223] += F2[15] * F2[232] * F2[35];F2[17] = (1 / (1 + Math.exp(-F2[223])));F2[233] = F2[17] * (1 - F2[17]);1017        F2[234] = F2[235];F2[235] = F2[167] * F2[236] * F2[235] + F2[237];F2[235] += F2[3] * F2[238] * F2[53];F2[235] += F2[5] * F2[239] * F2[54];F2[235] += F2[7] * F2[240] * F2[55];F2[235] += F2[9] * F2[241] * F2[56];F2[235] += F2[11] * F2[242] * F2[57];F2[235] += F2[13] * F2[243] * F2[58];F2[235] += F2[15] * F2[244] * F2[59];F2[19] = (1 / (1 + Math.exp(-F2[235])));F2[245] = F2[19] * (1 - F2[19]);1018        F2[246] = F2[247];F2[247] = F2[185] * F2[248] * F2[247] + F2[249];F2[247] += F2[3] * F2[250] * F2[77];F2[247] += F2[5] * F2[251] * F2[78];F2[247] += F2[7] * F2[252] * F2[79];F2[247] += F2[9] * F2[253] * F2[80];F2[247] += F2[11] * F2[254] * F2[81];F2[247] += F2[13] * F2[255] * F2[82];F2[247] += F2[15] * F2[256] * F2[83];F2[21] = (1 / (1 + Math.exp(-F2[247])));F2[257] = F2[21] * (1 - F2[21]);1019        F2[258] = F2[259];F2[259] = F2[203] * F2[260] * F2[259] + F2[261];F2[259] += F2[3] * F2[262] * F2[101];F2[259] += F2[5] * F2[263] * F2[102];F2[259] += F2[7] * F2[264] * F2[103];F2[259] += F2[9] * F2[265] * F2[104];F2[259] += F2[11] * F2[266] * F2[105];F2[259] += F2[13] * F2[267] * F2[106];F2[259] += F2[15] * F2[268] * F2[107];F2[23] = (1 / (1 + Math.exp(-F2[259])));F2[269] = F2[23] * (1 - F2[23]);1020        F2[270] = F2[271];F2[271] = F2[221] * F2[272] * F2[271] + F2[273];F2[271] += F2[3] * F2[274] * F2[125];F2[271] += F2[5] * F2[275] * F2[126];F2[271] += F2[7] * F2[276] * F2[127];F2[271] += F2[9] * F2[277] * F2[128];F2[271] += F2[11] * F2[278] * F2[129];F2[271] += F2[13] * F2[279] * F2[130];F2[271] += F2[15] * F2[280] * F2[131];F2[25] = (1 / (1 + Math.exp(-F2[271])));F2[281] = F2[25] * (1 - F2[25]);1021        F2[282] = F2[283];F2[283] = F2[284];F2[283] += F2[3] * F2[285];F2[283] += F2[5] * F2[286];F2[283] += F2[7] * F2[287];F2[283] += F2[9] * F2[288];F2[283] += F2[11] * F2[289];F2[283] += F2[13] * F2[290];F2[283] += F2[15] * F2[291];F2[283] += F2[17] * F2[292];F2[283] += F2[19] * F2[293];F2[283] += F2[21] * F2[294];F2[283] += F2[23] * F2[295];F2[283] += F2[25] * F2[296];F2[297] = (1 / (1 + Math.exp(-F2[283])));F2[298] = F2[297] * (1 - F2[297]);F2[299] = F2[297];1022        F2[300] = F2[301];F2[301] = F2[302];F2[301] += F2[3] * F2[303];F2[301] += F2[5] * F2[304];F2[301] += F2[7] * F2[305];F2[301] += F2[9] * F2[306];F2[301] += F2[11] * F2[307];F2[301] += F2[13] * F2[308];F2[301] += F2[15] * F2[309];F2[301] += F2[17] * F2[310];F2[301] += F2[19] * F2[311];F2[301] += F2[21] * F2[312];F2[301] += F2[23] * F2[313];F2[301] += F2[25] * F2[314];F2[315] = (1 / (1 + Math.exp(-F2[301])));F2[316] = F2[315] * (1 - F2[315]);F2[317] = F2[315];1023        F2[318] = F2[319];F2[319] = F2[320];F2[319] += F2[3] * F2[321];F2[319] += F2[5] * F2[322];F2[319] += F2[7] * F2[323];F2[319] += F2[9] * F2[324];F2[319] += F2[11] * F2[325];F2[319] += F2[13] * F2[326];F2[319] += F2[15] * F2[327];F2[319] += F2[17] * F2[328];F2[319] += F2[19] * F2[329];F2[319] += F2[21] * F2[330];F2[319] += F2[23] * F2[331];F2[319] += F2[25] * F2[332];F2[333] = (1 / (1 + Math.exp(-F2[319])));F2[334] = F2[333] * (1 - F2[333]);F2[335] = F2[333];1024        F2[336] = F2[337];F2[337] = F2[338];F2[337] += F2[3] * F2[339];F2[337] += F2[5] * F2[340];F2[337] += F2[7] * F2[341];F2[337] += F2[9] * F2[342];F2[337] += F2[11] * F2[343];F2[337] += F2[13] * F2[344];F2[337] += F2[15] * F2[345];F2[337] += F2[17] * F2[346];F2[337] += F2[19] * F2[347];F2[337] += F2[21] * F2[348];F2[337] += F2[23] * F2[349];F2[337] += F2[25] * F2[350];F2[351] = (1 / (1 + Math.exp(-F2[337])));F2[352] = F2[351] * (1 - F2[351]);F2[353] = F2[351];1025        F2[354] = F2[355];F2[355] = F2[356];F2[355] += F2[3] * F2[357];F2[355] += F2[5] * F2[358];F2[355] += F2[7] * F2[359];F2[355] += F2[9] * F2[360];F2[355] += F2[11] * F2[361];F2[355] += F2[13] * F2[362];F2[355] += F2[15] * F2[363];F2[355] += F2[17] * F2[364];F2[355] += F2[19] * F2[365];F2[355] += F2[21] * F2[366];F2[355] += F2[23] * F2[367];F2[355] += F2[25] * F2[368];F2[369] = (1 / (1 + Math.exp(-F2[355])));F2[370] = F2[369] * (1 - F2[369]);F2[371] = F2[369];1026        F2[372] = F2[373];F2[373] = F2[374];F2[373] += F2[3] * F2[375];F2[373] += F2[5] * F2[376];F2[373] += F2[7] * F2[377];F2[373] += F2[9] * F2[378];F2[373] += F2[11] * F2[379];F2[373] += F2[13] * F2[380];F2[373] += F2[15] * F2[381];F2[373] += F2[17] * F2[382];F2[373] += F2[19] * F2[383];F2[373] += F2[21] * F2[384];F2[373] += F2[23] * F2[385];F2[373] += F2[25] * F2[386];F2[373] += F2[387] * F2[388];F2[373] += F2[389] * F2[390];F2[391] = (1 / (1 + Math.exp(-F2[373])));F2[392] = F2[391] * (1 - F2[391]);F2[393] = F2[391];F2[394] = F2[391];F2[395] = F2[391];F2[396] = F2[391];F2[397] = F2[391];F2[398] = F2[391];F2[399] = F2[391];F2[400] = F2[391];F2[401] = F2[391];F2[402] = F2[391];F2[403] = F2[391];F2[404] = F2[391];1027        F2[405] = F2[406];F2[406] = F2[407];F2[406] += F2[3] * F2[408];F2[406] += F2[5] * F2[409];F2[406] += F2[7] * F2[410];F2[406] += F2[9] * F2[411];F2[406] += F2[11] * F2[412];F2[406] += F2[13] * F2[413];F2[406] += F2[15] * F2[414];F2[406] += F2[17] * F2[415];F2[406] += F2[19] * F2[416];F2[406] += F2[21] * F2[417];F2[406] += F2[23] * F2[418];F2[406] += F2[25] * F2[419];F2[406] += F2[387] * F2[420];F2[406] += F2[389] * F2[421];F2[422] = (1 / (1 + Math.exp(-F2[406])));F2[423] = F2[422] * (1 - F2[422]);F2[424] = F2[422];F2[425] = F2[422];F2[426] = F2[422];F2[427] = F2[422];F2[428] = F2[422];F2[429] = F2[422];F2[430] = F2[422];F2[431] = F2[422];F2[432] = F2[422];F2[433] = F2[422];F2[434] = F2[422];F2[435] = F2[422];1028        F2[436] = F2[437];F2[437] = F2[438];F2[437] += F2[3] * F2[439];F2[437] += F2[5] * F2[440];F2[437] += F2[7] * F2[441];F2[437] += F2[9] * F2[442];F2[437] += F2[11] * F2[443];F2[437] += F2[13] * F2[444];F2[437] += F2[15] * F2[445];F2[437] += F2[17] * F2[446];F2[437] += F2[19] * F2[447];F2[437] += F2[21] * F2[448];F2[437] += F2[23] * F2[449];F2[437] += F2[25] * F2[450];F2[437] += F2[387] * F2[451];F2[437] += F2[389] * F2[452];F2[453] = (1 / (1 + Math.exp(-F2[437])));F2[454] = F2[453] * (1 - F2[453]);F2[455] = F2[453];1029        F2[456] = F2[457];F2[457] = F2[458];F2[457] += F2[3] * F2[459];F2[457] += F2[5] * F2[460];F2[457] += F2[7] * F2[461];F2[457] += F2[9] * F2[462];F2[457] += F2[11] * F2[463];F2[457] += F2[13] * F2[464];F2[457] += F2[15] * F2[465];F2[457] += F2[17] * F2[466];F2[457] += F2[19] * F2[467];F2[457] += F2[21] * F2[468];F2[457] += F2[23] * F2[469];F2[457] += F2[25] * F2[470];F2[457] += F2[387] * F2[471];F2[457] += F2[389] * F2[472];F2[473] = (1 / (1 + Math.exp(-F2[457])));F2[474] = F2[473] * (1 - F2[473]);F2[475] = F2[473];1030        F2[476] = F2[477];F2[477] = F2[455] * F2[478] * F2[477] + F2[479];F2[477] += F2[3] * F2[480] * F2[393];F2[477] += F2[5] * F2[481] * F2[394];F2[477] += F2[7] * F2[482] * F2[395];F2[477] += F2[9] * F2[483] * F2[396];F2[477] += F2[11] * F2[484] * F2[397];F2[477] += F2[13] * F2[485] * F2[398];F2[477] += F2[15] * F2[486] * F2[399];F2[477] += F2[17] * F2[487] * F2[400];F2[477] += F2[19] * F2[488] * F2[401];F2[477] += F2[21] * F2[489] * F2[402];F2[477] += F2[23] * F2[490] * F2[403];F2[477] += F2[25] * F2[491] * F2[404];F2[387] = (1 / (1 + Math.exp(-F2[477])));F2[492] = F2[387] * (1 - F2[387]);1031        F2[493] = F2[494];F2[494] = F2[475] * F2[495] * F2[494] + F2[496];F2[494] += F2[3] * F2[497] * F2[424];F2[494] += F2[5] * F2[498] * F2[425];F2[494] += F2[7] * F2[499] * F2[426];F2[494] += F2[9] * F2[500] * F2[427];F2[494] += F2[11] * F2[501] * F2[428];F2[494] += F2[13] * F2[502] * F2[429];F2[494] += F2[15] * F2[503] * F2[430];F2[494] += F2[17] * F2[504] * F2[431];F2[494] += F2[19] * F2[505] * F2[432];F2[494] += F2[21] * F2[506] * F2[433];F2[494] += F2[23] * F2[507] * F2[434];F2[494] += F2[25] * F2[508] * F2[435];F2[389] = (1 / (1 + Math.exp(-F2[494])));F2[509] = F2[389] * (1 - F2[389]);1032        F2[510] = F2[511];F2[511] = F2[512];F2[511] += F2[3] * F2[513];F2[511] += F2[5] * F2[514];F2[511] += F2[7] * F2[515];F2[511] += F2[9] * F2[516];F2[511] += F2[11] * F2[517];F2[511] += F2[13] * F2[518];F2[511] += F2[15] * F2[519];F2[511] += F2[17] * F2[520];F2[511] += F2[19] * F2[521];F2[511] += F2[21] * F2[522];F2[511] += F2[23] * F2[523];F2[511] += F2[25] * F2[524];F2[511] += F2[387] * F2[525];F2[511] += F2[389] * F2[526];F2[527] = (1 / (1 + Math.exp(-F2[511])));F2[528] = F2[527] * (1 - F2[527]);F2[529] = F2[527];1033        F2[530] = F2[531];F2[531] = F2[532];F2[531] += F2[3] * F2[533];F2[531] += F2[5] * F2[534];F2[531] += F2[7] * F2[535];F2[531] += F2[9] * F2[536];F2[531] += F2[11] * F2[537];F2[531] += F2[13] * F2[538];F2[531] += F2[15] * F2[539];F2[531] += F2[17] * F2[540];F2[531] += F2[19] * F2[541];F2[531] += F2[21] * F2[542];F2[531] += F2[23] * F2[543];F2[531] += F2[25] * F2[544];F2[531] += F2[387] * F2[545];F2[531] += F2[389] * F2[546];F2[547] = (1 / (1 + Math.exp(-F2[531])));F2[548] = F2[547] * (1 - F2[547]);F2[549] = F2[547];1034        F2[550] = F2[551];F2[551] = F2[552];F2[551] += F2[17] * F2[553] * F2[299];F2[551] += F2[19] * F2[554] * F2[317];F2[551] += F2[21] * F2[555] * F2[335];F2[551] += F2[23] * F2[556] * F2[353];F2[551] += F2[25] * F2[557] * F2[371];F2[551] += F2[387] * F2[558] * F2[529];F2[551] += F2[389] * F2[559] * F2[549];F2[551] += F2[3] * F2[560];F2[551] += F2[5] * F2[561];F2[551] += F2[7] * F2[562];F2[551] += F2[9] * F2[563];F2[551] += F2[11] * F2[564];F2[551] += F2[13] * F2[565];F2[551] += F2[15] * F2[566];F2[567] = (1 / (1 + Math.exp(-F2[551])));F2[568] = F2[567] * (1 - F2[567]);1035      //  var output = [];1036        output[0] = F2[567];1037        return output;1038    }1039    /********************************************************************************************************************1040    *********************************************** CHANGE CURRENT TARGET ***********************************************1041    ********************************************************************************************************************/1042    $('.target-select-radio').click(function() {1043        selectedTargetNum = parseInt( $(this).attr("num") );1044        selectedTargetName = $(this).attr("id");1045        var isChecked = $('#rdSelect').prop('checked');1046        console.log("SELECTED TARGET: " + selectedTargetName + " " + selectedTargetNum + " " + isChecked);1047    });1048    /********************************************************************************************************************1049    *********************************************** SLIDER UI ***********************************************************1050    ********************************************************************************************************************/1051    var rangeSlider = function(){1052        var slider = $('.range-slider'),1053            range = $('.range-slider__range'),1054            value = $('.range-slider__value');1055          1056        slider.each(function(){1057        value.each(function(){1058            var value = $(this).prev().attr('value');1059            $(this).html(value);1060        });1061        if( $(this).hasClass('nn-architecture') ){ $('.range-slider__value.nn-architecture').html('2:5:1'); }1062        range.on('input', function(){1063            var labels = ['2:1', '2:5:1', '2:5:5:1', '3:1', '3:5:1', '3:5:5:1', '5:1', '5:5:1', '5:7:7:1'];1064            $(this).next(value).html(this.value);1065            if( $(this).hasClass('nn-architecture') ){ $(this).next(value).html( labels[this.value] ); }1066          1067          });1068        });1069    }1070    rangeSlider();1071    //RANGE SLIDER EVENT HANDLER1072    $( ".range-slider" ).each(function() {1073        if($(this).hasClass("nn-architecture")){1074            // Add labels to slider whose values 1075            // are specified by min, max and whose1076            // step is set to 11077            1078            // Get the options for this slider1079            //var opt = $(this).data().uiSlider.options;1080            // Get the number of possible values1081            var $input = $(this).find("input");1082            var min = parseInt($input.attr("min"));1083            var max = parseInt($input.attr("max"));1084            var step = parseInt($input.attr("step"));1085            var increment = parseInt($input.attr("increment"));1086            var vals = max - min; //opt.max - opt.min;1087            //if(min < 0){ vals = max + min; }1088            var labels = ['2:1', '2:5:1', '2:5:5:1', '3:1', '3:5:1', '3:5:5:1', '5:1', '5:5:1', '5:7:7:1'];1089            1090            // Space out values1091            for (var i = 0; (i * increment) <= vals; i++) {1092                var s = min + (i * increment);1093                var el = $('<label>'+ labels[s] +'</label>').css('left',( 4 + Math.abs((s-min)/vals) *($input.width() -24)+'px'));1094                //   var el = $('<label>'+ s +'</label>').css('left',( 3 + ((s-min)/vals) *($input.width() -24)+'px'));1095                if(s == 0){ el = $('<label>'+ labels[s] +'</label>').css('left',( 21 + Math.abs((s-min)/vals) *($input.width() -24)+'px')); }1096                if(s == vals){ el = $('<label>'+ labels[s] +'</label>').css('left',( -20 + Math.abs((s-min)/vals) *($input.width() -24)+'px')); }1097                $(this).append(el);1098            }1099        }  1100    });1101    /*******************************************************************************************************************1102     ******************************************* NEURAL NETWORK BUTTONS *************************************************1103     ********************************************************************************************************************/1104    $('#train-btn').click(function() {1105        console.log("train button 1");1106        trainNNFlag1 = true;1107        trainNN(1);1108    });1109    $('#activate-btn').click(function() {1110        console.log("activate button");1111        activeNNFlag1 = true;1112        $('#activate-btn').toggleClass("activatedNN");1113        //if loaded NN, turn off1114        if (loadNNFlag) {1115            loadNNFlag = false;1116            $('#load-nn-btn').toggleClass("activatedNN");1117        }1118    });1119    $('#train2-btn').click(function() {1120        console.log("train button 2");1121        trainNNFlag2 = true;1122        trainNN(2);1123    });1124    $('#activate2-btn').click(function() {1125        console.log("activate button");1126        activeNNFlag2 = true;1127        $('#activate2-btn').toggleClass("activatedNN");1128        //if leaded NN, turn off1129        if (loadNNFlag) {1130            loadNNFlag = false;1131            $('#load-nn-btn').toggleClass("activatedNN");1132        }1133    });1134    // ************* LOAD TWO EXPORTED NEURAL NET ACTIVATION FUNCTIONS AND WEIGHTS1135    $('#load-nn-btn').click(function() {1136        console.log("load exported NN button");1137        loadNNFlag = true;1138        $('#load-nn-btn').toggleClass("activatedNN");1139        console.log("LOADING MODEL FOR TARGET: " + selectedTargetName + " " + selectedTargetNum);1140        //SHORT RIGHT1141        if(selectedTargetName == 'sh-r-eyes-select'){1142            loadNNData5 = set_RHand_ShortHair_EyesPosition_5Weights(loadNNData5);1143            loadNNData7 = set_RHand_ShortHair_EyesPosition_7Weights(loadNNData7);1144        } else if(selectedTargetName == 'sh-r-mouth-select'){1145            loadNNData5 = set_RHand_ShortHair_MouthPosition_5Weights(loadNNData5);1146            loadNNData7 = set_RHand_ShortHair_MouthPosition_7Weights(loadNNData7);1147        } else if(selectedTargetName == 'sh-r-front-select'){1148            loadNNData5 = set_RHand_ShortHair_FrontPosition_5Weights(loadNNData5);1149            loadNNData7 = set_RHand_ShortHair_FrontPosition_7Weights(loadNNData7);1150        } else if(selectedTargetName == 'sh-r-side-select'){1151            loadNNData5 = set_RHand_ShortHair_SidePosition_5Weights(loadNNData5);1152            loadNNData7 = set_RHand_ShortHair_SidePosition_7Weights(loadNNData7);1153        } else if(selectedTargetName == 'sh-r-top-select'){1154            loadNNData5 = set_RHand_ShortHair_TopPosition_5Weights(loadNNData5);1155            loadNNData7 = set_RHand_ShortHair_TopPosition_7Weights(loadNNData7);1156        } else if(selectedTargetName == 'sh-r-back-select'){1157            loadNNData5 = set_RHand_ShortHair_BackPosition_5Weights(loadNNData5);1158            loadNNData7 = set_RHand_ShortHair_BackPosition_7Weights(loadNNData7);1159        }1160        //SHORT LEFT1161        else if(selectedTargetName == 'sh-l-eyes-select'){1162            loadNNData5 = set_LHand_ShortHair_EyesPosition_5Weights(loadNNData5);1163            loadNNData7 = set_LHand_ShortHair_EyesPosition_7Weights(loadNNData7);1164        } else if(selectedTargetName == 'sh-l-mouth-select'){1165            loadNNData5 = set_LHand_ShortHair_MouthPosition_5Weights(loadNNData5);1166            loadNNData7 = set_LHand_ShortHair_MouthPosition_7Weights(loadNNData7);1167        } else if(selectedTargetName == 'sh-l-front-select'){1168            loadNNData5 = set_LHand_ShortHair_FrontPosition_5Weights(loadNNData5);1169            loadNNData7 = set_LHand_ShortHair_FrontPosition_7Weights(loadNNData7);1170        } else if(selectedTargetName == 'sh-l-side-select'){1171            loadNNData5 = set_LHand_ShortHair_SidePosition_5Weights(loadNNData5);1172            loadNNData7 = set_LHand_ShortHair_SidePosition_7Weights(loadNNData7);1173        } else if(selectedTargetName == 'sh-l-top-select'){1174            loadNNData5 = set_LHand_ShortHair_TopPosition_5Weights(loadNNData5);1175            loadNNData7 = set_LHand_ShortHair_TopPosition_7Weights(loadNNData7);1176        } else if(selectedTargetName == 'sh-l-back-select'){1177            loadNNData5 = set_LHand_ShortHair_BackPosition_5Weights(loadNNData5);1178            loadNNData7 = set_LHand_ShortHair_BackPosition_7Weights(loadNNData7);1179        }1180        //MEDIUM LEFT1181        else if(selectedTargetName == 'md-l-eyes-select'){1182            loadNNData5 = set_LHand_MediumHair_EyesPosition_5Weights(loadNNData5);1183            loadNNData7 = set_LHand_MediumHair_EyesPosition_7Weights(loadNNData7);1184        } else if(selectedTargetName == 'md-l-mouth-select'){1185            loadNNData5 = set_LHand_MediumHair_MouthPosition_5Weights(loadNNData5);1186            loadNNData7 = set_LHand_MediumHair_MouthPosition_7Weights(loadNNData7);1187        } else if(selectedTargetName == 'md-l-front-select'){1188            loadNNData5 = set_LHand_MediumHair_FrontPosition_5Weights(loadNNData5);1189            loadNNData7 = set_LHand_MediumHair_FrontPosition_7Weights(loadNNData7);1190        } else if(selectedTargetName == 'md-l-side-select'){1191            loadNNData5 = set_LHand_MediumHair_SidePosition_5Weights(loadNNData5);1192            loadNNData7 = set_LHand_MediumHair_SidePosition_7Weights(loadNNData7);1193        } else if(selectedTargetName == 'md-l-top-select'){1194            loadNNData5 = set_LHand_MediumHair_TopPosition_5Weights(loadNNData5);1195            loadNNData7 = set_LHand_MediumHair_TopPosition_7Weights(loadNNData7);1196        } else if(selectedTargetName == 'md-l-back-select'){1197            loadNNData5 = set_LHand_MediumHair_BackPosition_5Weights(loadNNData5);1198            loadNNData7 = set_LHand_MediumHair_BackPosition_7Weights(loadNNData7);1199        }1200        //MEDIUM RIGHT1201        else if(selectedTargetName == 'md-r-eyes-select'){1202            loadNNData5 = set_RHand_MediumHair_EyesPosition_5Weights(loadNNData5);1203            loadNNData7 = set_RHand_MediumHair_EyesPosition_7Weights(loadNNData7);1204        } else if(selectedTargetName == 'md-r-mouth-select'){1205            loadNNData5 = set_RHand_MediumHair_MouthPosition_5Weights(loadNNData5);1206            loadNNData7 = set_RHand_MediumHair_MouthPosition_7Weights(loadNNData7);1207        } else if(selectedTargetName == 'md-r-front-select'){1208            loadNNData5 = set_RHand_MediumHair_FrontPosition_5Weights(loadNNData5);1209            loadNNData7 = set_RHand_MediumHair_FrontPosition_7Weights(loadNNData7);1210        } else if(selectedTargetName == 'md-r-side-select'){1211            loadNNData5 = set_RHand_MediumHair_SidePosition_5Weights(loadNNData5);1212            loadNNData7 = set_RHand_MediumHair_SidePosition_7Weights(loadNNData7);1213        } else if(selectedTargetName == 'md-r-top-select'){1214            loadNNData5 = set_RHand_MediumHair_TopPosition_5Weights(loadNNData5);1215            loadNNData7 = set_RHand_MediumHair_TopPosition_7Weights(loadNNData7);1216        } else if(selectedTargetName == 'md-r-back-select'){1217            loadNNData5 = set_RHand_MediumHair_BackPosition_5Weights(loadNNData5);1218            loadNNData7 = set_RHand_MediumHair_BackPosition_7Weights(loadNNData7);1219        }1220        //LONG LEFT1221        else if(selectedTargetName == 'lg-l-eyes-select'){1222            loadNNData5 = set_LHand_LongHair_EyesPosition_5Weights(loadNNData5);1223            loadNNData7 = set_LHand_LongHair_EyesPosition_7Weights(loadNNData7);1224        } else if(selectedTargetName == 'lg-l-mouth-select'){1225            loadNNData5 = set_LHand_LongHair_MouthPosition_5Weights(loadNNData5);1226            loadNNData7 = set_LHand_LongHair_MouthPosition_7Weights(loadNNData7);1227        } else if(selectedTargetName == 'lg-l-front-select'){1228            loadNNData5 = set_LHand_LongHair_FrontPosition_5Weights(loadNNData5);1229            loadNNData7 = set_LHand_LongHair_FrontPosition_7Weights(loadNNData7);1230        } else if(selectedTargetName == 'lg-l-side-select'){1231            loadNNData5 = set_LHand_LongHair_SidePosition_5Weights(loadNNData5);1232            loadNNData7 = set_LHand_LongHair_SidePosition_7Weights(loadNNData7);1233        } else if(selectedTargetName == 'lg-l-top-select'){1234            loadNNData5 = set_LHand_LongHair_TopPosition_5Weights(loadNNData5);1235            loadNNData7 = set_LHand_LongHair_TopPosition_7Weights(loadNNData7);1236        } else if(selectedTargetName == 'lg-l-back-select'){1237            loadNNData5 = set_LHand_LongHair_BackPosition_5Weights(loadNNData5);1238            loadNNData7 = set_LHand_LongHair_BackPosition_7Weights(loadNNData7);1239        }1240        //LONG RIGHT1241        else if(selectedTargetName == 'lg-r-eyes-select'){1242            loadNNData5 = set_RHand_LongHair_EyesPosition_5Weights(loadNNData5);1243            loadNNData7 = set_RHand_LongHair_EyesPosition_7Weights(loadNNData7);1244        } else if(selectedTargetName == 'lg-r-mouth-select'){1245            loadNNData5 = set_RHand_LongHair_MouthPosition_5Weights(loadNNData5);1246            loadNNData7 = set_RHand_LongHair_MouthPosition_7Weights(loadNNData7);1247        } else if(selectedTargetName == 'lg-r-front-select'){1248            loadNNData5 = set_RHand_LongHair_FrontPosition_5Weights(loadNNData5);1249            loadNNData7 = set_RHand_LongHair_FrontPosition_7Weights(loadNNData7);1250        } else if(selectedTargetName == 'lg-r-side-select'){1251            loadNNData5 = set_RHand_LongHair_SidePosition_5Weights(loadNNData5);1252            loadNNData7 = set_RHand_LongHair_SidePosition_7Weights(loadNNData7);1253        } else if(selectedTargetName == 'lg-r-top-select'){1254            loadNNData5 = set_RHand_LongHair_TopPosition_5Weights(loadNNData5);1255            loadNNData7 = set_RHand_LongHair_TopPosition_7Weights(loadNNData7);1256        } else if(selectedTargetName == 'lg-r-back-select'){1257            loadNNData5 = set_RHand_LongHair_BackPosition_5Weights(loadNNData5);1258            loadNNData7 = set_RHand_LongHair_BackPosition_7Weights(loadNNData7);1259        }1260    });1261    /*******************************************************************************************************************1262     ********************************** COLLECT, PRINT, LOAD BUTTON ACTIONS *********************************************1263     ********************************************************************************************************************/1264    /*************** COLLECT SAMPLE - SONSOR AND MODEL DATA - STORE IN GSHEET AND ADD TO NN TRAINING OBJECT *****************/1265    $('#collect-true-1').click(function() {1266        //how many samples for this set?1267        getSamplesFlag = $('input.sample-size').val();1268        getSamplesTypeFlag = 1;1269        console.log("Collect btn NN1T #samples flag: " + getSamplesFlag);1270    });1271    $('#collect-false-1').click(function() {1272        //how many samples for this set?1273        //this flag is applied in the bluetooth data notification function1274        getSamplesFlag = $('input.sample-size').val();1275        getSamplesTypeFlag = 2;1276        console.log("Collect btn NN1F #samples flag: " + getSamplesFlag);1277    });1278    $('#collect-true-2').click(function() {1279        //how many samples for this set?1280        getSamplesFlag = $('input.sample-size').val();1281        //this flag is applied in the bluetooth data notification function1282        getSamplesTypeFlag = 3;1283        console.log("Collect btn NN2T #samples flag: " + getSamplesFlag);1284    });1285    $('#collect-false-2').click(function() {1286        //how many samples for this set?1287        getSamplesFlag = $('input.sample-size').val();1288        //this flag is applied in the bluetooth data notification function1289        getSamplesTypeFlag = 4;1290        console.log("Collect btn NN2F #samples flag: " + getSamplesFlag);1291    });1292    $('#clear-1').click(function() {1293        NN1TrueDataArray = new Array;1294        NN1FalseDataArray = new Array;1295        sensorDataArray = new Array(18).fill(0);1296        sensorDataSession = new Array;1297        updateSampleCountDisplay();1298        $("#dump-print").html("");1299        console.log("Clear NN1 Data");1300    });1301    $('#clear-2').click(function() {1302        NN2TrueDataArray = new Array;1303        NN2FalseDataArray = new Array;1304        sensorDataArray = new Array(18).fill(0);1305        sensorDataSession = new Array;1306        updateSampleCountDisplay();1307        $("#dump-print").html("");1308        console.log("Clear NN2 Data");1309    });1310    $('#export-btn').click(function() {1311        console.log("export1 NN button");1312        //clear everything but key values from stored NN1313        neuralNet.clear();1314        //export optimized weights and activation function1315        var standalone = neuralNet.standalone();1316        //convert to string for parsing1317        standalone = standalone.toString();1318        console.log(standalone);1319        $("#dump-print").html(standalone);1320        $("#dump-print").addClass("active-print");1321    });1322    $('#export2-btn').click(function() {1323        console.log("export2 NN button");1324        //clear everything but key values from stored NN1325        neuralNet2.clear();1326        //export optimized weights and activation function1327        var standalone = neuralNet2.standalone();1328        //convert to string for parsing1329        standalone = standalone.toString();1330        console.log(standalone);1331        $("#dump-print").html(standalone);1332        $("#dump-print").addClass("active-print");1333    });1334        //print sensor data to browser at bottom of app screen1335    $('#print-btn').click(function() {1336        console.log("print button");1337        $("#dump-print").html("");1338    var dataVarNames=["sh_r_eyes_data", "sh_r_mouth_data", "sh_r_front_data", "sh_r_side_data", "sh_r_top_data", "sh_r_back_data", "sh_r_off_data",1339                        "sh_l_eyes_data", "sh_l_mouth_data", "sh_l_front_data", "sh_l_side_data", "sh_l_top_data", "sh_l_back_data", "sh_l_off_data",1340                        "md_r_eyes_data", "md_r_mouth_data", "md_r_front_data", "md_r_side_data", "md_r_top_data", "md_r_back_data", "md_r_off_data",1341                        "md_l_eyes_data", "md_l_mouth_data", "md_l_front_data", "md_l_side_data", "md_l_top_data", "md_l_back_data", "md_l_off_data",1342                        "lg_r_eyes_data", "lg_r_mouth_data", "lg_r_front_data", "lg_r_side_data", "lg_r_top_data", "lg_r_back_data", "lg_r_off_data",1343                        "lg_l_eyes_data", "lg_l_mouth_data", "lg_l_front_data", "lg_l_side_data", "lg_l_top_data", "lg_l_back_data", "lg_l_off_data"];1344        for( var i=0; i < masterDataArray.length; i++){1345            $("#dump-print").append("<p>var " + dataVarNames[i] + "=" + JSON.stringify(masterDataArray[i]) + ";</p>" );1346            console.log(dataVarNames[i] + " SESSION DATA: " + masterDataArray[i]);1347        }1348     //   $("#dump-print").html(JSON.stringify(sensorDataSession));1349        $("#dump-print").addClass("active-print");1350       // console.log("SENSOR SESSIONS DATA: " + sensorDataSession);1351    });1352    //load data from js file (JSON or JS object) into sensor session data1353    $('#load-btn').click(function() {1354        console.log("load button");1355        masterDataArray[0] = sh_r_eyes_data1356        masterDataArray[1] = sh_r_mouth_data;1357        masterDataArray[2] = sh_r_front_data;1358        masterDataArray[3] = sh_r_side_data;1359        masterDataArray[4] = sh_r_top_data;1360        masterDataArray[5] = sh_r_back_data;1361        masterDataArray[6] = sh_r_off_data;1362        masterDataArray[7] = sh_l_eyes_data;1363        masterDataArray[8] = sh_l_mouth_data;1364        masterDataArray[9] = sh_l_front_data;1365        masterDataArray[10] = sh_l_side_data;1366        masterDataArray[11] = sh_l_top_data;1367        masterDataArray[12] = sh_l_back_data;1368        masterDataArray[13] = sh_l_off_data;1369        masterDataArray[14] = md_r_eyes_data;1370        masterDataArray[15] = md_r_mouth_data;1371        masterDataArray[16] = md_r_front_data;1372        masterDataArray[17] = md_r_side_data;1373        masterDataArray[18] = md_r_top_data;1374        masterDataArray[19] = md_r_back_data;1375        masterDataArray[20] = md_r_off_data;1376        masterDataArray[21] = md_l_eyes_data;1377        masterDataArray[22] = md_l_mouth_data;1378        masterDataArray[23] = md_l_front_data;1379        masterDataArray[24] = md_l_side_data;1380        masterDataArray[25] = md_l_top_data;1381        masterDataArray[26] = md_l_back_data;1382        masterDataArray[27] = md_l_off_data;1383        masterDataArray[28] = lg_r_eyes_data;1384        masterDataArray[29] = lg_r_mouth_data;1385        masterDataArray[30] = lg_r_front_data;1386        masterDataArray[31] = lg_r_side_data;1387        masterDataArray[32] = lg_r_top_data;1388        masterDataArray[33] = lg_r_back_data;1389        masterDataArray[34] = lg_r_off_data;1390        masterDataArray[35] = lg_l_eyes_data;1391        masterDataArray[36] = lg_l_mouth_data;1392        masterDataArray[37] = lg_l_front_data;1393        masterDataArray[38] = lg_l_side_data;1394        masterDataArray[39] = lg_l_top_data;1395        masterDataArray[40] = lg_l_back_data;1396        masterDataArray[41] = lg_l_off_data;1397     /*   masterDataArray[28] = $.merge( lg_r_eyes_data, md_r_eyes_data);1398        masterDataArray[29] = $.merge( lg_r_mouth_data, md_r_mouth_data);1399        masterDataArray[30] = $.merge( lg_r_front_data, md_r_front_data);1400        masterDataArray[31] = $.merge( lg_r_side_data, md_r_side_data);1401        masterDataArray[32] = $.merge( lg_r_top_data, md_r_top_data);1402        masterDataArray[33] = $.merge( lg_r_back_data, md_r_back_data);1403        masterDataArray[34] = $.merge( lg_r_off_data, md_r_off_data);1404        masterDataArray[35] = $.merge( lg_l_eyes_data, md_l_eyes_data);1405        masterDataArray[36] = $.merge( lg_l_mouth_data, md_l_mouth_data);1406        masterDataArray[37] = $.merge( lg_l_front_data, md_l_front_data);1407        masterDataArray[38] = $.merge( lg_l_side_data, md_l_side_data);1408        masterDataArray[39] = $.merge( lg_l_top_data, md_l_top_data);1409        masterDataArray[40] = $.merge( lg_l_back_data, md_l_back_data);1410        masterDataArray[41] = $.merge( lg_l_off_data, md_l_off_data); */1411        //update data count labels1412        for( var i=0; i < masterDataArray.length; i++){1413            $( "span[data='" + i + "']" ).html(masterDataArray[i].length);1414        }1415    });1416}); // end on document load...