private static void TrainNetwork()
{
// создание набора данных
double[][] pack = new double[5][];
pack[0] = new double[] { 0.5, 0.4 };
pack[1] = new double[] { 0.1, 0.7 };
pack[2] = new double[] { 0, 0 };
pack[3] = new double[] { 0.2, 0 };
pack[4] = new double[] { 1, 0.4 };
// создание набора для обучения
double[][] learn = new double[5][];
learn[0] = new double[] { 0.9, 0.1 };
learn[1] = new double[] { 0.1, 0.9 };
learn[2] = new double[] { 0.1, 0.1 };
learn[3] = new double[] { 0.1, 0.1 };
learn[4] = new double[] { 0.9, 0.1 };
double error = double.MaxValue;
int k = 0;
while (error > 0.1)
{
error = 0;
for (int j = 0; j < pack.Length; j++)
{
network.SetData(pack[j], true);
network.UpdateNeurons();
network.Learn(learn[j]);
error += network.GetNetworkError();
}
error /= pack.Length;
Console.WriteLine($"{k++} - {error}");
}
}