public UnsureNetworkForm()
{
InitializeComponent();
NodeSavingReading reader = new NodeSavingReading();
net = new NeuralNet(7, 7, ANNfilename, KFoldFilename);
inputTrainingData = reader.GetStoredDataFromFile(Globals.inputDataStorage);
outputTrainingData = reader.GetStoredDataFromFile(Globals.outputDataStorage);
//inputTrainingData = new List<double[]>();
//outputTrainingData = new List<double[]>();
controls = new PatsControlScheme();
controls.Initialize();
controls.timeNeededForChange = 7000;
serial = new SerialReader();
serial.Read();
UnityCommunicationHub.InitializeUnityCommunication();
UnityCommunicationHub.TwoWayTransmission();
indexList = Globals.GetBasicValues();
reverseIndexList = Globals.GetBasicValuesReversed();
setPointList = Globals.GetBasicPositions();
foreach (KeyValuePair <string, int> position in indexList)
{
DefaultPositionsBox.Items.Add(position.Key);
}
}
public void Save()
{
NodeSavingReading reader = new NodeSavingReading();
network.Save(ANNfilename);
reader.pushDataToFile(KFoldFilename, topResults);
}
public NeuralNetForm()
{
InitializeComponent();
NodeSavingReading reader = new NodeSavingReading();
net = new NeuralNet(8, 7, ANNfilename, KFoldFilename);
inputTrainingData = reader.GetStoredDataFromFile(Globals.inputDataStorage);
outputTrainingData = reader.GetStoredDataFromFile(Globals.outputDataStorage);
//inputTrainingData = new List<double[]>();
//outputTrainingData = new List<double[]>();
serial = new SerialReader();
serial.Read();
UnityCommunicationHub.InitializeUnityCommunication();
UnityCommunicationHub.TwoWayTransmission();
indexList = Globals.GetBasicValues();
setPointList = Globals.GetBasicPositions();
foreach (KeyValuePair <string, int> position in indexList)
{
DefaultPositionsBox.Items.Add(position.Key);
}
}
private void SaveButton_Click(object sender, EventArgs e)
{
NodeSavingReading reader = new NodeSavingReading();
net.Save();
reader.pushDataToFile(Globals.inputDataStorage, inputTrainingData);
reader.pushDataToFile(Globals.outputDataStorage, outputTrainingData);
}
//private CrossValidation<ActivationNetwork, double, double> validator;
public NeuralNet(int inputs, int outputs, string ANNfilename, string KFoldFilename)
{
NodeSavingReading reader = new NodeSavingReading();
this.ANNfilename = ANNfilename;
this.KFoldFilename = KFoldFilename;
try
{
network = (ActivationNetwork)Network.Load(ANNfilename);
topResults = reader.GetKFoldDataFromFile(KFoldFilename);
}
catch (FileNotFoundException e)
{
Console.WriteLine("Could not find file, generating new one");
network = new ActivationNetwork(new SigmoidFunction(), inputs, new int[4] {
10, 10, 10, outputs
});
}
}
