public OutputP Execute(InputP input)
{
double[,] a1 = new double[8, 1];
double[,] a2 = new double[1, 1];
a1 = Matrix.Mult(w1, input.vector);
a1 = Matrix.Plus(b1, a1);
for (int i = 0; i < a1.GetLength(0); i++)
{
a1[i, 0] = fun1(a1[i, 0]);
}
a2 = Matrix.Mult(w2, a1);
a2 = Matrix.Plus(b2, a2);
for (int i = 0; i < a2.GetLength(0); i++)
{
a2[i, 0] = fun2(a2[i, 0]);
}
return(new OutputP(a2[0, 0]));
}
public void Training(InputP input)
{
double[,] a1 = new double[8, 1];
double[,] a2 = new double[1, 1];
a1 = Matrix.Mult(w1, input.vector);
a1 = Matrix.Plus(b1, a1);
for (int i = 0; i < a1.GetLength(0); i++)
{
a1[i, 0] = fun1(a1[i, 0]);
}
a2 = Matrix.Mult(w2, a1);
a2 = Matrix.Plus(b2, a2);
for (int i = 0; i < a2.GetLength(0); i++)
{
a2[i, 0] = fun2(a2[i, 0]);
}
double[,] e = new double[1, 1];
e = Matrix.Minus(input.o.vector, a2);
double[,] s2 = new double[1, 1];
double[,] s1 = new double[8, 8];
double[,] ss1 = new double[8, 1];
double[,] ss2 = new double[1, 1];
double[,] con = new double[1, 1];
con[0, 0] = -2;
for (int i = 0; i < 1; i++)
{
s2[i, i] = dfun2(a2[i, 0]);
}
ss2 = Matrix.Mult(s2, e);
ss2 = Matrix.Mult(ss2, con);
for (int i = 0; i < 8; i++)
{
s1[i, i] = dfun1(a1[i, 0]);
}
ss1 = Matrix.Mult(Matrix.Inv(w2), ss2);
ss1 = Matrix.Mult(s1, ss1);
con[0, 0] = 0.5;
w1 = Matrix.Minus(w1, Matrix.Mult(Matrix.Mult(ss1, con), Matrix.Inv(input.vector)));
w2 = Matrix.Minus(w2, Matrix.Mult(Matrix.Mult(ss2, con), Matrix.Inv(a1)));
b1 = Matrix.Minus(b1, Matrix.Mult(ss1, con));
b2 = Matrix.Minus(b2, Matrix.Mult(ss2, con));
}
