public void Train(float[] expected_output)
{
errors = new float[DNA.Length];
float[] output_error;
float[] _error, tmp, prev_output, next_output;
float[,] d;
for (int i = matrices.Length - 1; i >= 0; i--)
{
if (i == matrices.Length - 1)
{
next_output = output;
output_error = MatrixTools.SubtractVV(expected_output, output);
/*Console.WriteLine("=====================================================================");
Console.WriteLine("expected_output: " + MatrixTools.Vector2Str(expected_output));
Console.WriteLine("output: " + MatrixTools.Vector2Str(output));
Console.WriteLine("output_error: " + MatrixTools.Vector2Str(output_error));*/
}
else
{
next_output = GetVector(layers[i].ToArray());
output_error = GetErrors(layers[i]);
}
if (i == 0)
{
prev_output = input;
}
else
{
prev_output = GetVector(incoming_vectors_keys[i]);
}
_error = MatrixTools.MultiplyVI(output_error, GetLearningRate());
tmp = MatrixTools.SubtractFV(1, next_output);
tmp = MatrixTools.MultiplyVV(_error, next_output, tmp);
d = MatrixTools.MultiplyVVAsMatrix(tmp, prev_output);
output_error = MatrixTools.MultiplyMV(MatrixTools.TransposeM(matrices[i]), _error);
if (i > 0)
PutErrors(incoming_vectors_keys[i], output_error);
matrices[i] = MatrixTools.AddMM(matrices[i], d);
}
}
public float[] Query(float[] _input)
{
this.input = _input;
float[] Input = MatrixTools.MultiplyMV(matrices[0], _input);//умножаем матрицу 0 на вектор входящего сигнала, получаем инпут слоя 1
float[] Output = ActivationFunction(Input);//применяем функцию активации к инпуту слоя 1, получаем аутпут слоя 1
SetVector(layers[0], Output);//записываем значения первого слоя
for (int l = 1; l < layers.Length; l++)
{
//Console.WriteLine(MatrixTools.Matrix2String(matrices[l]));
Input = MatrixTools.MultiplyMV(matrices[l], GetVector(incoming_vectors_keys[l]));
Output = ActivationFunction(Input);
SetVector(layers[l], Output);
}
Input = MatrixTools.MultiplyMV(matrices[matrices.Length - 1], GetVector(incoming_vectors_keys[incoming_vectors_keys.Length - 1]));
return output = ActivationFunction(Input);
}