public void Correct(TNeuron Win, TX X)
{
for (int i = 0; i < N; i++)
{
Win.w[i] = Win.w[i] + nu * (X.x[i] - Win.w[i]);
}
}
public void Add(TX X, double dnu)
{
if (Count < 1)
{
Map.Add(new TNeuron(N, X.x, null));
return;
}
double R;
TNeuron Win = Winner(X, out R);
if (R < Rc)
{
Correct(Win, X);
}
else
{
Map.Add(new TNeuron(N, X.x, null));
}
nu = nu - dnu;
if (nu < 0)
{
nu = 0;
}
}
public TNeuron Winner(TX X, out double R)
{
TNeuron res = this[0];
R = res.R(X.x);
for (int i = 1; i < Count; i++)
{
double d = this[i].R(X.x);
if (d < R)
{
R = d;
res = this[i];
}
}
return(res);
}
public int GetClass(TX X)
{
if (Count < 1)
{
return(-1);
}
double R;
TNeuron Win = Winner(X, out R);
if (R < Rc)
{
return(Map.IndexOf(Win));
}
else
{
return(-1);
}
}
