private void Correct(int k, TeachingObject image)
{
for (int i = 0; i < neuronesOnHiddenLayer; i++)
{
weightsFromHidden[i, k] += GetHiddenOutputCorrection(k, image.GroupNumber) * hiddenOutput[i];
}
for (int j = 0; j < neuronesOnHiddenLayer; j++)
{
for (int i = 0; i < inputNeuronCount; i++)
{
weightsToHidden[i, j] += GetHiddenInputCorrection(j, image.GroupNumber) * inputVector[i];
}
hiddenBoundary[j] += GetHiddenInputCorrection(j, image.GroupNumber);
}
}
private void Correct(int k, TeachingObject image)
{
for (int i = 0; i < neuronesOnHiddenLayer; i++)
{
weightsFromHidden[i, k] += GetHiddenOutputCorrection(k, image.GroupNumber) * hiddenOutput[i];
}
outputBoundary[k] += GetHiddenOutputCorrection(k, image.GroupNumber);
for (int j = 0; j < neuronesOnHiddenLayer; j++)
{
for (int i = 0; i < inputNeuronCount; i++)
{
weightsToHidden[i, j] += GetHiddenInputCorrection(j, image.GroupNumber) * inputVector[i];
}
hiddenBoundary[j] += GetHiddenInputCorrection(j, image.GroupNumber);
}
}
