/// <summary>Инициализация новой многослойной нейронной сети</summary>
/// <param name="InputsCount">Количество входов сети</param>
/// <param name="NeuronsCount">Количество нейронов в слоях</param>
/// <param name="Initialize">Функция инициализации коэффициентов матриц передачи слоёв</param>
public MultilayerPerceptron(
int InputsCount,
[NotNull] IEnumerable <int> NeuronsCount,
[CanBeNull] NetworkCoefficientInitializer Initialize = null)
: this(CreateLayersMatrix(InputsCount, NeuronsCount, Initialize ?? GetStandardRandomInitializer()))
{
}
/// <summary>Инициализация матрицы весовых коэффициентов слоя</summary>
/// <param name="LayerWeights">Матрица весовых коэффициентов слоя</param>
/// <param name="LayerIndex">Индекс слоя</param>
/// <param name="Initializer">Функция инициализации весовых коэффициентов слоя</param>
private static void InitializeLayerWeightsMatrix(
[NotNull] double[,] LayerWeights,
int LayerIndex,
[NotNull] NetworkCoefficientInitializer Initializer)
{
for (var i = 0; i < LayerWeights.GetLength(0); i++)
{
for (var j = 0; j < LayerWeights.GetLength(1); j++)
{
LayerWeights[i, j] = Initializer.Invoke(LayerIndex, i, j);
}
}
}
private static double[][,] CreateLayersMatrix(
int InputsCount,
[NotNull] IEnumerable <int> NeuronsCount,
[NotNull] NetworkCoefficientInitializer Initialize)
{
var neurons_count = NeuronsCount.ToArray();
var layers_count = neurons_count.Length;
var weights = new double[layers_count][, ];
var w = new double[neurons_count[0], InputsCount];
weights[0] = w;
InitializeLayerWeightsMatrix(w, 0, Initialize);
for (var layer = 1; layer < layers_count; layer++)
{
w = new double[neurons_count[layer], neurons_count[layer - 1]];
weights[layer] = w;
InitializeLayerWeightsMatrix(w, layer, Initialize);
}
return(weights);
}
