private void CalculateErrorOut(double[] outPattern)
{
BackpropagationLayer outLayer = layers[layers.Count - 1];
for (int x = 0; x < outPattern.Count(); x++)
{
BackpropagationNeuron neuronOut = outLayer.neurons[x];
//Formula: Erro_saída[j] = (valor_desejado – valor_obtido)* valor_obtido * (1 – (valor_obtido))
neuronOut.valueError = (outPattern[x] - neuronOut.GetValuePattern()) * neuronOut.GetValuePattern() * (1 - neuronOut.GetValuePattern());
}
}
private double[] GetDoubleArrayOutput()
{
BackpropagationLayer outLayer = layers[layers.Count - 1];
double[] result = new double[outLayer.neurons.Count()];
for (int x = 0; x < outLayer.neurons.Count(); x++)
{
BackpropagationNeuron neuron = outLayer.neurons[x];
result[x] = neuron.GetValuePattern();
}
return(result);
}
