protected override void OnEndEpoch(int currentIteration, Ajusteentrenamiento trainingSet)
{
meanSquaredError /= trainingSet.TrainingSampleCount;
isValidMSE = true;
base.OnEndEpoch(currentIteration, trainingSet);
}
private void button2_Click(object sender, EventArgs e)
{
SigmoidLayer capaentrada = new SigmoidLayer(45);
SigmoidLayer capaoculta = new SigmoidLayer(9);
SigmoidLayer capasalida = new SigmoidLayer(10);
new ConexionBackpropagation(capaentrada, capaoculta);
new ConexionBackpropagation(capaoculta, capasalida);
network = new RedBackpropagation(capaentrada, capasalida);
network.SetLearningRate(0.05);
Ajusteentrenamiento grupoent = new Ajusteentrenamiento(45, 10);
grupoent.Add(new Entrenamiento(cero, new double[10] {
1, 0, 0, 0, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cero2, new double[10] {
1, 0, 0, 0, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(uno, new double[10] {
1, 1, 0, 0, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(uno2, new double[10] {
1, 1, 0, 0, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(uno3, new double[10] {
1, 1, 0, 0, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(dos, new double[10] {
1, 1, 1, 0, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(dos2, new double[10] {
1, 1, 1, 0, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(tres, new double[10] {
1, 1, 1, 1, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(tres2, new double[10] {
1, 1, 1, 1, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(tres3, new double[10] {
1, 1, 1, 1, 0, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cuatro, new double[10] {
1, 1, 1, 1, 1, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cuatro2, new double[10] {
1, 1, 1, 1, 1, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cuatro3, new double[10] {
1, 1, 1, 1, 1, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cuatro4, new double[10] {
1, 1, 1, 1, 1, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cuatro5, new double[10] {
1, 1, 1, 1, 1, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cuatro6, new double[10] {
1, 1, 1, 1, 1, 0, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cinco, new double[10] {
1, 1, 1, 1, 1, 1, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cinco2, new double[10] {
1, 1, 1, 1, 1, 1, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(cinco3, new double[10] {
1, 1, 1, 1, 1, 1, 0, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(seis, new double[10] {
1, 1, 1, 1, 1, 1, 1, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(seis2, new double[10] {
1, 1, 1, 1, 1, 1, 1, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(seis3, new double[10] {
1, 1, 1, 1, 1, 1, 1, 0, 0, 0
}));
grupoent.Add(new Entrenamiento(siete, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 0, 0
}));
grupoent.Add(new Entrenamiento(siete2, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 0, 0
}));
grupoent.Add(new Entrenamiento(siete3, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 0, 0
}));
grupoent.Add(new Entrenamiento(ocho, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 1, 0
}));
grupoent.Add(new Entrenamiento(ocho2, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 1, 0
}));
grupoent.Add(new Entrenamiento(ocho3, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 1, 0
}));
grupoent.Add(new Entrenamiento(nueve, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 1, 1
}));
grupoent.Add(new Entrenamiento(nueve2, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 1, 1
}));
grupoent.Add(new Entrenamiento(nueve3, new double[10] {
1, 1, 1, 1, 1, 1, 1, 1, 1, 1
}));
network.Learn(grupoent, 5000);
network.StopLearning();
label3.Text = "Listo el entrenamiento";
}
protected override void OnBeginEpoch(int currentIteration, Ajusteentrenamiento trainingSet)
{
meanSquaredError = 0d;
isValidMSE = false;
base.OnBeginEpoch(currentIteration, trainingSet);
}
