public void BinaryLoad(string FileName)
{
using (BinaryReader reader = new BinaryReader(File.Open(FileName, FileMode.Open)))
{
// пока не достигнут конец файла
// считываем каждое значение из файла
int InpW = reader.ReadInt32();
InputWeight = InpW;
int Length = reader.ReadInt32();
Sheet = new List <Neiron> [Length];
for (int z = 0; z < Length; z++)
{
Sheet[z] = new List <Neiron>();
int Length1 = reader.ReadInt32();
for (int i = 0; i < Length1; i++)
{
Neiron n = new Neiron(z);
Sheet[z].Add(n);
int Length2 = reader.ReadInt32();
n.Weights = new List <Double>();
for (int j = 0; j < Length2; j++)
{
Double w = reader.ReadDouble();
n.Weights.Add(w);
}
}
}
}
}
public Double[] LearnOutNeironInputAmbi(Double[] Sigma)//Out Sigmas
{
Double[] RealInput = new Double[Input.Length];
for (int index = 0; index < Sigma.Length; index++)
{
Sheet[Sheet.Length - 1][index].LearnNeironInput(Sigma[index], Alfa, ref Sheet);
}
for (int j = Sheet.Length - 2; j > -1; j--)
{
for (int LearningIndexInLayear = 0; LearningIndexInLayear < Sheet[j].Count; LearningIndexInLayear++)
{
Double LearningSigma = 0;
for (int i = 0; i < Sheet[j + 1].Count; i++)
{
LearningSigma += Sheet[j + 1][i].DeltaMiss * Sheet[j + 1][i].Weights[LearningIndexInLayear];
}
Sheet[j][LearningIndexInLayear].LearnNeiron(LearningSigma, Alfa, ref Sheet, ref Input);
}
}
for (int LearningIndexInLayear = 0; LearningIndexInLayear < Input.Length; LearningIndexInLayear++)
{
Double LearningSigma = 0;
for (int i = 0; i < Sheet[0].Count; i++)
{
LearningSigma += Sheet[0][i].DeltaMiss * Sheet[0][i].Weights[LearningIndexInLayear];
}
{
Double DeltaMiss = LearningSigma * Neiron.DActivationFunction(Input[LearningIndexInLayear]);
RealInput[LearningIndexInLayear] = Alfa * DeltaMiss * Input[LearningIndexInLayear];
}
}
return(RealInput);
}
