public void Adjustment(double learningrate, List <INeuron> neurons)
{
for (int i = 0; i < neurons.Count; i++)
{
Weights[i] = Weights[i] + (Error * ActivationFunctions.UseDX(topology.ActivationFunc, Output) * neurons[i].Output * learningrate);
}
if (NeuralNetwork.bias) // Корректировка веса для нейрона смещения
{
Weights[Weights.Count - 1] = Weights[Weights.Count - 1] + (Error * ActivationFunctions.UseDX(topology.ActivationFunc, Output) * 1 * Weights[Weights.Count - 1] * learningrate);
}
}
public void FeedForward(params double[] inputs)
{
double sum = 0;
if (NeuralNetwork.bias) // Опционально добавляет влияние нейрона смещения
{
sum = 1 * Weights[Weights.Count - 1];
}
for (int i = 0; i < inputs.Length; i++)
{
sum += inputs[i] * Weights[i];
}
Output = ActivationFunctions.Use(topology.ActivationFunc, sum);
}
