public void Train(bool[] pattern)
{
Matrix m2 = Matrix.CreateRowMatrix(BiPolarUtil.Bipolar2double(pattern));
Matrix m1 = m2.Clone().Transpose();
Matrix m3 = m1 * m2;
Matrix identity = m3.Identity(IdentityMult.BEFORE);
m3 -= identity;
weightMatrix += m3;
}
public bool[] Present(bool[] pattern)
{
bool[] output = new bool[pattern.Length];
Matrix inputMatrix = Matrix.CreateRowMatrix(BiPolarUtil.Bipolar2double(pattern));
for (int col = 0; col < pattern.Length; col++)
{
Matrix columnMatrix = Matrix.CreateRowMatrix(weightMatrix.GetCol(col).ToArray());
double dotProduct = Matrix.Dot(inputMatrix.RowData()[0].ToArray(), columnMatrix.RowData()[0].ToArray());
if (dotProduct > 0)
{
output[col] = true;
}
else
{
output[col] = false;
}
}
return(output);
}