public float[] compete(HiddenLayer hiddenLayer)
{
NeuronList list = hiddenLayer.getHiddenLayerNeurons();
IEnumerator listEnum = list.GetEnumerator();
float[] x = new float[list.Count];
int i = 0;
while (listEnum.MoveNext())
{
x[i++] = ((HiddenLayerNeuron)listEnum.Current).getOutput();
}
double max = x[0];
int maxIndex = 0;
for (int j = x.Length - 1; j > 0; j--)
{
if (max < x[j])
{
maxIndex = j;
}
max = Math.Max(max, x[j]);
}
for (int k = 0; k < x.Length; k++)
{
x[k] = 0;
if (k == maxIndex)
{
x[k] = 1;
}
}
return(x);
}
public LVQNet(WeightsMatrix wm)
{
layerOne = new HiddenLayer(wm.IW);
layerTwo = new OutputLayer(wm.LW);
}
