private void runIrisNetwork()
{
//Getting data set ready:
bool normalize = selectedNetwork == typeof(LMS);
irisSet = new DataSetReader("../../../DataSets/iris.data", DataSetType.IRIS, normalize);
graphDrawer = new GraphDrawer(irisSet, graphPictureBox, irisBrushes);
//Network parameters:
target = new double[] { -1, 1 };
features = new double[] { (int)numFeatureOne.Value, (int)numFeatureTwo.Value };
classes = new double[] { (int)numClassOne.Value, (int)numClassTwo.Value };
double eta = (double)numEta.Value;
double bias = 1.0;
//Selecting the right network:
if (selectedNetwork == typeof(Perceptron))
{
machine = new Perceptron(irisSet, target, eta, bias, features, classes);
}
else if (selectedNetwork == typeof(LMS))
{
machine = new LMS(irisSet, target, eta, bias, features, classes);
}
//Train the network:
machine.train(30);
//Test the network:
int[,] testMatrix = machine.test(20);
UiTools.drawMatrix(dataGridView, testMatrix);
lblAccuracy.Text = VectorTools.confusionAccuracy(testMatrix).ToString();
}
private void startIrisMachine()
{
Layer hidden = new Layer(
new Neuron[] {
new Neuron(VectorTools.zeros(4), 1, 0, ActivationFunctions.sigmoid, ActivationFunctions.sigmoidDiff),
new Neuron(VectorTools.zeros(4), 1, 0, ActivationFunctions.sigmoid, ActivationFunctions.sigmoidDiff),
new Neuron(VectorTools.zeros(4), 1, 0, ActivationFunctions.sigmoid, ActivationFunctions.sigmoidDiff)
}
);
Layer output = new Layer(
new Neuron[] {
new Neuron(VectorTools.zeros(3), 1, 0, ActivationFunctions.sigmoid, ActivationFunctions.sigmoidDiff),
new Neuron(VectorTools.zeros(3), 1, 0, ActivationFunctions.sigmoid, ActivationFunctions.sigmoidDiff),
new Neuron(VectorTools.zeros(3), 1, 0, ActivationFunctions.sigmoid, ActivationFunctions.sigmoidDiff)
}
);
double eta = (double)numEta.Value;
int epochs = (int)numMaxEpochs.Value;
network = new BackPropagation(new Layer[] { hidden, output }, irisSet, eta, epochs);
network.train(30);
int[,] testMatrix = network.test(20);
UiTools.drawMatrix(gridConfMatrix, testMatrix);
double accuracy = VectorTools.confusionAccuracy(testMatrix);
lblAccuracy.Text = Math.Round(accuracy, 4).ToString();
}