/// <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>
/// Callback which takes the ANN DataSet for hidden layers and draws the ANN
/// using the using the new hidden layers.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void ApplyAnnSettings_Click(object sender, RoutedEventArgs e)
{
_ANN.NumLayers = 2 + _DataSet.Tables[0].Rows.Count;
_ANN.SetNumNeurons(0, 16);
_ANN.SetNumNeurons(_DataSet.Tables[0].Rows.Count + 1, 7);
for (int i = 0; i < _DataSet.Tables[0].Rows.Count; i++)
{
_ANN.SetNumNeurons(i + 1, Convert.ToInt32(_DataSet.Tables[0].Rows[i].ItemArray[0]));
}
DrawANN();
}
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
}
/// <summary>
/// Callback which takes the ANN DataSet for hidden layers and draws the ANN
/// using the using the new hidden layers.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void ApplyAnnSettings_Click(object sender, RoutedEventArgs e)
{
_ANN.NumLayers = 2 + _DataSetANN.Tables[0].Rows.Count;
_ANN.SetNumNeurons(0, 38);
_ANN.SetNumNeurons(_DataSetANN.Tables[0].Rows.Count + 1, _NumOutputNeurons);
int[] neuronsCount = new int[_DataSetANN.Tables[0].Rows.Count + 1];
neuronsCount[neuronsCount.GetLength(0) - 1] = _NumOutputNeurons;
for (int i = 0; i < _DataSetANN.Tables[0].Rows.Count; i++)
{
int neuronCount = Convert.ToInt32(_DataSetANN.Tables[0].Rows[i].ItemArray[0]);
neuronsCount[i] = neuronCount;
_ANN.SetNumNeurons(i + 1, neuronCount);
}
_Network = new ActivationNetwork(new SigmoidFunction(_SigmoidAlpha), _NumInputNeurons, neuronsCount);
DrawANN();
}
