/// <summary>
/// Constructs a new AnnDialog.
/// </summary>
public AnnDialog(ref Klu Klu)
{
InitializeComponent();
_Klu = Klu;
#region Initialize ANN stuff
_ANN = new ANN();
_ANN.NumLayers = 3;
_ANN.SetNumNeurons(0, 38);
_ANN.SetNumNeurons(1, 6);
_ANN.SetNumNeurons(2, 7);
// Bind certain labels to ANN stuff
AnnNumLayers.DataContext = _ANN;
// Bind DataGrid to ANN-DataSet now
_DataSet = new DataSet("HiddenLayer");
_DataSet.Tables.Add("HiddenLayerTable");
uint tmp = 0;
_DataSet.Tables[0].Columns.Add("Neurons", tmp.GetType());
tmp = 6;
_DataSet.Tables[0].Rows.Add(tmp);
HiddenLayerDataGrid.DataContext = _DataSet.Tables[0];
#endregion
}
/// <summary>
/// Create a neural network using the given parameters and saves it as a reusable
/// OpenCV XML file to the desired "filepath".
/// </summary>
/// <param name="numNeuronsPerLayer"></param>
/// <param name="activationFunction"></param>
/// <param name="filepath"></param>
/// <returns>true if successful; otherwise false</returns>
public bool CreateAndSaveAnn(int[] numNeuronsPerLayer, ANN.ActivationFunction activationFunction, double alpha, double beta, string filepath)
{
int res = klu_createAndSaveAnn(numNeuronsPerLayer, numNeuronsPerLayer.Count(), (int)activationFunction, alpha, beta, filepath);
return res == 1;
}
public TrainingDialog(ref TrainingDataSet dataSet)
{
InitializeComponent();
_BackgroundWorker = new BackgroundWorker();
_BackgroundWorker.WorkerReportsProgress = true;
_BackgroundWorker.WorkerSupportsCancellation = true;
_BackgroundWorker.DoWork += new DoWorkEventHandler(DoWork);
_BackgroundWorker.RunWorkerCompleted += new RunWorkerCompletedEventHandler(RunWorkerCompleted);
_BackgroundWorker.ProgressChanged += new ProgressChangedEventHandler(ProgressChanged);
_DataSet = dataSet;
_Chart = new Chart();
windowsFormsHost1.Child = _Chart;
_Series = 0;
StopButton.IsEnabled = false;
_Network = new ActivationNetwork(
new SigmoidFunction(),
_NumInputNeurons,
9,
_NumOutputNeurons
);
#region Initialize ANN stuff
_ANN = new ANN();
_ANN.NumLayers = 3;
_ANN.SetNumNeurons(0, _NumInputNeurons);
_ANN.SetNumNeurons(1, 9);
_ANN.SetNumNeurons(2, _NumOutputNeurons);
// Bind DataGrid to ANN-DataSet now
_DataSetANN = new DataSet("HiddenLayer");
_DataSetANN.Tables.Add("HiddenLayerTable");
uint tmp = 9;
_DataSetANN.Tables[0].Columns.Add("Neurons", tmp.GetType());
_DataSetANN.Tables[0].Rows.Add(tmp);
HiddenLayerDataGrid.DataContext = _DataSetANN.Tables[0];
#endregion
}
