static void Main(string[] args)
{
NN nn = new NN(4, 8, 4);
float[] inputs = new float[] { 0.1f, 0.2f, 0.3f, 0.4f };
float[] ar = nn.FeedForward(inputs);
}
public Genome(int size)
{
Random rnd = new Random();
weights = new float[size];
skills = new int[skillCount];
for (int i = 0; i < size; i++)
{
weights[i] = NN.NextDoubleRange(rnd, -1f, 1f);
}
}
public void Init(Genome g)
{
genome = g;
//TODO color
//Color col = new Color(0.1f, 0.1f, 0.25f, 1f);
float size = 0.75f;
for (int i = 0; i < Genome.skillCount; i++)
{
skillsTotal[g.skills[i]]++;
if (g.skills[i] == 0)
{
foodSkill++;
//col.g += 0.2f;
}
else if (g.skills[i] == 1)
{
attackSkill++;
// col.r += 0.25f;
}
else if (g.skills[i] == 2)
{
defSkill++;
//col.b += 0.25f;
}
else if (g.skills[i] == 3)
{
size += 0.5f;
}
}
nn = new NN(inputsCount, 8, 4);
for (int i = 0; i < inputsCount; i++)
{
for (int j = 0; j < 8; j++)
{
nn.layers[0].weights[i, j] = genome.weights[i + j * inputsCount];
}
}
for (int i = 0; i < 8; i++)
{
for (int j = 0; j < 4; j++)
{
nn.layers[1].weights[i, j] = genome.weights[i + j * 8 + inputsCount * 8];
}
}
}
public void Mutate(float value)
{
Random rnd = new Random();
for (int i = 0; i < weights.Length; i++)
{
if (NN.NextDoubleRange(rnd, 0, 1f) < 0.1)
{
weights[i] += NN.NextDoubleRange(rnd, -value, value);
}
}
for (int i = 0; i < skillCount; i++)
{
if (NN.NextDoubleRange(rnd, 0, 1f) < 0.05)
{
skills[i] = rnd.Next(0, 4);
}
}
}
public NN(params int[] sizes)
{
Random rnd = new Random();
layers = new Layer[sizes.Length];
for (int i = 0; i < sizes.Length; i++)
{
int nextSize = 0;
if (i < sizes.Length - 1)
{
nextSize = sizes[i + 1];
}
layers[i] = new Layer(sizes[i], nextSize);
for (int j = 0; j < sizes[i]; j++)
{
for (int k = 0; k < nextSize; k++)
{
layers[i].weights[j, k] = NN.NextDoubleRange(rnd, -1f, 1f);
}
}
}
}