private void generatePoints()
{
for (int i = 0; i < pts.Length; ++i)
{
int zone_index = rand.Next(zones.Length);
int x = genCoord(zones[zone_index].m_x, zones[zone_index].sigma_x);
int y = genCoord(zones[zone_index].m_y, zones[zone_index].sigma_y);
pts[i] = new PaulPoint(x, y, zone_index);
}
}
private void modifyNeighbours(PaulPoint x, int pos_x, int pos_y)
{
double a = alfa(t);
int v = (int)vecinatate(t);
int stanga_y = pos_y - v;
if (stanga_y < 0)
{
stanga_y = 0;
}
int stanga_x = pos_x - v;
if (stanga_x < 0)
{
stanga_x = 0;
}
int dreapta_y = pos_y + v;
if (dreapta_y > NUM_Y_NEURONS - 1)
{
dreapta_y = NUM_Y_NEURONS - 1;
}
int dreapta_x = pos_x + v;
if (dreapta_x > NUM_X_NEURONS - 1)
{
dreapta_x = NUM_X_NEURONS - 1;
}
for (int i = stanga_y; i <= dreapta_y; i++)
{
for (int j = stanga_x; j <= dreapta_x; j++)
{
neurons1[i][j].p.X = (float)(neurons1[i][j].p.X + a * (x.p.X - neurons1[i][j].p.X));
neurons1[i][j].p.Y = (float)(neurons1[i][j].p.Y + a * (x.p.Y - neurons1[i][j].p.Y));
}
}
}
private Neuron closestNeuron(PaulPoint p, ref int pos_x, ref int pos_y)
{
Neuron closest = null;
double minDist = Double.MaxValue;
for (int i = 0; i < NUM_Y_NEURONS; i++)
{
for (int j = 0; j < NUM_X_NEURONS; j++)
{
double d = euclidianDistDouble(neurons1[i][j].p, p.p);
if (d < minDist)
{
minDist = d;
closest = neurons1[i][j];
pos_x = j;
pos_y = i;
}
}
}
return(closest);
}
