public void Calculate(double[] input, bool output)
{
Values = new double[Length];
for (int k = 0; k < Length; k++)
{
for (int j = 0; j < InputLength; j++)
{
Values[k] += ((Weights[k, j]) * input[j]);
}
if (!output)
{
Values[k] += Biases[k];
Values[k] = ActivationFunctions.Tanh(Values[k]);
}
else
{
Values[k] = Values[k];
}
}
}
public double Score(Board board, bool useNeurons)
{
var input = new double[8, 8];
//Flip a copy of the board to always have self at bottom for scoring purposes
Piece[,] temp = Serializer.DeepClone(board.Pieces);
/*if (player.IsW) { temp = Serializer.DeepClone(board.Pieces); }
* else { temp = ArrayInverse(board.Pieces); }*/
for (int i = 0; i < 8; i++)
{
for (int ii = 0; ii < 8; ii++)
{
//Set piece values equal to standard chess piece values
Piece p = temp[i, ii];
//Don't have to set empty piece = 0 b/c array initialization does it automatically
if (p is Empty)
{
continue;
}
if (p is Pawn)
{
input[i, ii] = 1;
}
if (p is Knight || p is Bishop)
{
input[i, ii] = 3;
}
if (p is Rook)
{
input[i, ii] = 5;
}
if (p is Queen)
{
input[i, ii] = 9;
}
if (p is King)
{
input[i, ii] = 15;
}
//Set opposite color piece values to negative
if (p.Player.IsW != player.IsW)
{
input[i, ii] *= -1;
}
}
}
if (useNeurons)
{
//Normalize everything
input = ActivationFunctions.Normalize(input, 8, 8);
return(Run(input));
}
//Count the value of pieces left on the board
else
{
int sum = 0;
foreach (int i in input)
{
sum += i;
}
return(sum);
}
}
