public void AdjustErrors(Neuron outputNeuron) { for (int i = 0; i < _neuronCount; i++) { Neurons[i].Error = Sigmoid.Derivative(Neurons[i].Output()) * outputNeuron.Error * outputNeuron.Weights[i]; } }
public void AdjustErrorsBasedOnExpectResult(double[] result) { for (int i = 0; i < _neuronCount; i++) { var output = Neurons[i].Output(); var globalError = Sigmoid.Derivative(output) * (output - result[i]); Neurons[i].Error = globalError; } }