public Test(MultilayerPerceptron MLP, RadialBasisFunction RBF, bool MethodSelected)
{
InitializeComponent();
this.MLP = MLP;
this.RBF = RBF;
this.MethodSelected = MethodSelected;
Output = new Dictionary <int, string>();
Output[0] = "Closing";
Output[1] = "Down";
Output[2] = "Front";
Output[3] = "Left";
theProcess = new ProcessStartInfo("mspaint.exe");
}
private void RBFbtn_Click(object sender, EventArgs e)
{
string DataSetPath = "A:\\Work\\FCIS\\Years\\4\\Terms\\2\\Neural Networks\\Project\\Dataset\\";
int HiddenLayerSize = 0;
int Epochs = 0;
double Eta = 0;
double MeanSquareErrorThreshold = 0;
try
{
HiddenLayerSize = Convert.ToInt32(HiddenLayerSizetxt.Text);
Epochs = Convert.ToInt32(epochs.Text);
Eta = Convert.ToDouble(eta.Text);
MeanSquareErrorThreshold = Convert.ToDouble(MeanSquareErrorThresholdtxt.Text);
}
catch (Exception Ex)
{
MessageBox.Show(Ex.ToString());
}
RBF = new RadialBasisFunction(HiddenLayerSize, Epochs, Eta, MeanSquareErrorThreshold, DataSetPath);
RBF.Train();
RBF.Test();
for (int i = 0; i < 4; ++i)
{
for (int j = 0; j < 4; ++j)
{
confusionMatrix.Rows[i].Cells[j].Value = RBF.ConfusionMatrix[i][j];
}
}
accuracy.Text = RBF.Accuracy.ToString();
methodSelected = false;
}