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 mlpButton_Click(object sender, EventArgs e)
{
string DataSetPath = "A:\\Work\\FCIS\\Years\\4\\Terms\\2\\Neural Networks\\Project\\Dataset\\";
int Epochs = 0;
double Eta = 0;
try
{
Epochs = Convert.ToInt32(epochs.Text);
Eta = Convert.ToDouble(eta.Text);
}
catch (Exception Ex)
{
MessageBox.Show(Ex.ToString());
}
BLP = new MultilayerPerceptron(Epochs, Eta, DataSetPath);
BLP.Train();
double Accuracy = BLP.Test();
accuracy.Text = Accuracy.ToString();
for (int i = 0; i < 4; i++)
{
confusionMatrix.Rows[0].Cells[i].Value = BLP.ClosingCount[i];
}
for (int i = 0; i < 4; i++)
{
confusionMatrix.Rows[1].Cells[i].Value = BLP.DownCount[i];
}
for (int i = 0; i < 4; i++)
{
confusionMatrix.Rows[2].Cells[i].Value = BLP.FrontCount[i];
}
for (int i = 0; i < 4; i++)
{
confusionMatrix.Rows[3].Cells[i].Value = BLP.LeftCount[i];
}
methodSelected = true;
}
