public void BackwardPropagationOutput(double[] expected, ITransferFunction transferFunction)
{
for (int i = 0; i < numberOfOutputs; i++)
{
error[i] = outputs[i] - expected[i];
}
for (int i = 0; i < numberOfOutputs; i++)
{
gamma[i] = error[i] * transferFunction.Derivative(outputs[i]);
}
for (int i = 0; i < numberOfOutputs; i++)
{
for (int j = 0; j < numberOfInputs; j++)
{
weightsDelta[i, j] = gamma[i] * inputs[j];
}
}
}
public void BackwardPropagationHidden(double[] gammaForward, double[,] weightsForward, ITransferFunction transferFunction)
{
for (int i = 0; i < numberOfOutputs; i++)
{
gamma[i] = 0;
for (int j = 0; j < gammaForward.Length; j++)
{
gamma[i] += gamma[j] * weightsForward[j, i];
}
gamma[i] *= transferFunction.Derivative(outputs[i]);
}
for (int i = 0; i < numberOfOutputs; i++)
{
for (int j = 0; j < numberOfInputs; j++)
{
weightsDelta[i, j] = gamma[i] * inputs[j];
}
}
}