public S_Brain(S_Brain Parent1, S_Brain Parent2)
{
Neurons = new S_Neuron[Parent1.Neurons.Length][];
Neurons[0] = new S_Neuron[Parent1.Neurons[0].Length];
for (int i = 0; i < Neurons[0].Length; i++)
{
Neurons[0][i] = new S_Neuron(RandomParent(Parent1, Parent2).Neurons[0][i]);
}
for (int layer = 0; layer < Parent1.Neurons.Length - 2; layer++)
{
Neurons[layer + 1] = new S_Neuron[Parent1.Neurons[layer + 1].Length];
for (int i = 0; i < Parent1.Neurons[layer + 1].Length; i++)
{
Neurons[layer + 1][i] = new S_Neuron(RandomParent(Parent1, Parent2).Neurons[layer + 1][i]);
}
}
Neurons[Parent1.Neurons.Length - 1] = new S_Neuron[Parent1.Neurons[Parent1.Neurons.Length - 1].Length];
for (int i = 0; i < Parent1.Neurons[Parent1.Neurons.Length - 1].Length; i++)
{
Neurons[Parent1.Neurons.Length - 1][i] = new S_Neuron(RandomParent(Parent1, Parent2).Neurons[Parent1.Neurons.Length - 1][i]);
}
M_NeuronID = Parent1.M_NeuronID;
for (int layer = 0; layer < Neurons.Length; layer++)
{
for (int i = 0; i < Neurons[layer].Length; i++)
{
Neurons[layer][i].CloneConnections(this, RandomParent(Parent1, Parent2).Neurons[layer][i]);
}
}
}
public S_Brain(int inputCount, int outputCount, int numberOfIntermediateLayers, int intermediateLayerCount)
{
int nid = 0;
Neurons = new S_Neuron[numberOfIntermediateLayers + 2][];
Neurons[0] = new S_Neuron[inputCount];
for (int i = 0; i < inputCount; i++)
{
Neurons[0][i] = new S_Neuron(nid++, GlobalRandom.NextBetween(-10, 10));
}
for (int layer = 0; layer < numberOfIntermediateLayers; layer++)
{
Neurons[layer + 1] = new S_Neuron[intermediateLayerCount];
for (int i = 0; i < intermediateLayerCount; i++)
{
Neurons[layer + 1][i] = new S_Neuron(nid++, GlobalRandom.NextBetween(-10, 10));
}
}
Neurons[numberOfIntermediateLayers + 1] = new S_Neuron[outputCount];
for (int i = 0; i < outputCount; i++)
{
Neurons[numberOfIntermediateLayers + 1][i] = new S_Neuron(nid++, GlobalRandom.NextBetween(-10, 10));
}
for (int layer = 1; layer < Neurons.Length; layer++)
{
for (int i = 0; i < Neurons[layer - 1].Length; i++)
{
for (int j = 0; j < Neurons[layer].Length; j++)
{
Neurons[layer][j].AddConnection(Neurons[layer - 1][i], GlobalRandom.NextBetween(-1, 1));
}
}
}
M_NeuronID = nid;
}
public S_Brain(S_Brain clone)
{
Neurons = new S_Neuron[clone.Neurons.Length][];
Neurons[0] = new S_Neuron[clone.Neurons[0].Length];
for (int i = 0; i < Neurons[0].Length; i++)
{
Neurons[0][i] = new S_Neuron(clone.Neurons[0][i]);
}
for (int layer = 0; layer < clone.Neurons.Length - 2; layer++)
{
Neurons[layer + 1] = new S_Neuron[clone.Neurons[layer + 1].Length];
for (int i = 0; i < clone.Neurons[layer + 1].Length; i++)
{
Neurons[layer + 1][i] = new S_Neuron(clone.Neurons[layer + 1][i]);
}
}
Neurons[clone.Neurons.Length - 1] = new S_Neuron[clone.Neurons[clone.Neurons.Length - 1].Length];
for (int i = 0; i < clone.Neurons[clone.Neurons.Length - 1].Length; i++)
{
Neurons[clone.Neurons.Length - 1][i] = new S_Neuron(clone.Neurons[clone.Neurons.Length - 1][i]);
}
M_NeuronID = clone.M_NeuronID;
for (int layer = 0; layer < Neurons.Length; layer++)
{
for (int i = 0; i < Neurons[layer].Length; i++)
{
Neurons[layer][i].CloneConnections(this, clone.Neurons[layer][i]);
}
}
}
public void CloneConnections(S_Brain brain, S_Neuron cloneme)
{
connections = new List <S_Connection>(cloneme.connections.Count);
foreach (S_Connection c in cloneme.connections)
{
connections.Add(new S_Connection(brain.getNeuron(c.target.Neuron_Id), c.Weight));
}
}
public S_Neuron(S_Neuron cloneme)
{
connections = new List <S_Connection>(cloneme.connections.Count);
Neuron_Id = cloneme.Neuron_Id;
Value = 0;
Bias = cloneme.Bias;
hasValue = false;
}
public void Mutate(double bias, double cAdjust, int mCV)
{
int tgt = GlobalRandom.random.Next(M_NeuronID);
S_Neuron target = getNeuron(tgt);
double adb = GlobalRandom.NextBetween(-bias, bias);
target.Bias += adb;
if (target.connections.Count > 0)
{
S_Connection adjc = target.connections[GlobalRandom.random.Next(target.connections.Count)];
adjc.Weight += GlobalRandom.NextBetween(-cAdjust, cAdjust);
adjc.Weight = MathHelper.Clamp((float)adjc.Weight, -mCV, mCV);
}
}
public S_Connection(S_Neuron n, double v)
{
target = n;
Weight = v;
}
public void AddConnection(S_Neuron neuron, double amt)
{
connections.Add(new S_Connection(neuron, amt));
}
