private void Backpropagation(List <float> wantedOutputs)
{
for (int i = 0; i < m_outputPerceptrons.Count; i++)
{
Perceptron perceptron = m_outputPerceptrons[i];
float state = perceptron.State;
float error = state * (1 - state) * (wantedOutputs[i] - state);
perceptron.AdjustWeight(error);
}
for (int layerIndex = m_hiddenLayers.Count - 1; layerIndex >= 0; layerIndex--)
{
List <Perceptron> perceptronList = m_hiddenLayers[layerIndex].hiddenPerceptrons;
for (int i = 0; i < perceptronList.Count; i++)
{
Perceptron perceptron = perceptronList[i];
float state = perceptron.State;
List <Perceptron> nextList;
if (layerIndex < m_hiddenLayers.Count - 1)
{
nextList = m_hiddenLayers[layerIndex + 1].hiddenPerceptrons;
}
else
{
nextList = m_outputPerceptrons;
}
float sum = 0;
for (int j = 0; j < nextList.Count; j++)
{
sum += nextList[j].GetIncomingWeight(perceptron) * nextList[j].Error;
}
float error = state * (1 - state) * sum;
perceptron.AdjustWeight(error);
}
}
}