public static void InsertValue(double[,] arr, int xOffset, int yOffset, int xSize, int ySize, double value)
{
xSize = xSize - Convert.ToInt32(NeuroMaths.RelU(xOffset + xSize - arr.GetLength(0)));
ySize = ySize - Convert.ToInt32(NeuroMaths.RelU(yOffset + ySize - arr.GetLength(1)));
for (int x = 0; x < xSize; ++x)
{
for (int y = 0; y < ySize; ++y)
{
arr[xOffset + x, yOffset + y] = value;
}
}
}
public static void AddMatrixInMatrix(double[,] arr0, double[,] arr1, int xOffset, int yOffset)
{
int xLength = arr1.GetLength(0) - Convert.ToInt32(NeuroMaths.RelU(xOffset + arr1.GetLength(0) - arr0.GetLength(0)));
int yLength = arr1.GetLength(1) - Convert.ToInt32(NeuroMaths.RelU(yOffset + arr1.GetLength(1) - arr0.GetLength(1)));
for (int i0 = 0; i0 < xLength; ++i0)
{
for (int i1 = 0; i1 < yLength; ++i1)
{
arr0[i0 + xOffset, i1 + yOffset] += arr1[i0, i1];
}
}
}
public double OutputBerechnen(double[] connectionsToValue)
{
MoveLastOutput();
double a = 0;
for (int i = 0; i < connection.Count; ++i)
{
a += connection[i].GetValue(connectionsToValue[i]);
}
CurrentOutput = NeuroMaths.Formel(bezeichnung, a, parameter);
return(CurrentOutput);
}
public static double[,] GetPice(double[,] input, int xOffset, int yOffset, int xSize, int ySize)
{
int xLength = xSize - Convert.ToInt32(NeuroMaths.RelU(xOffset + xSize - input.GetLength(0)));
int yLength = ySize - Convert.ToInt32(NeuroMaths.RelU(yOffset + ySize - input.GetLength(1)));
double[,] output = new double[xLength, yLength];
for (int i0 = 0; i0 < xLength; ++i0)
{
for (int i1 = 0; i1 < yLength; ++i1)
{
output[i0, i1] = input[xOffset + i0, yOffset + i1];
}
}
return(output);
}
public void CalcDelta()
{
MoveLastDelta();
CurrentDelta *= NeuroMaths.Ableitung(bezeichnung, CurrentOutput, parameter);
}
