public Neuron CloneConnections(Neuron neuronArgs, Neuron[] neuronListArgs, bool negative)
{
Neuron newNeuron = new Neuron(neuronArgs.index, neuronArgs.layer);
newNeuron.negative = negative;
int index = -1;
for (int x = 0; x < neuronArgs.connections.Count; x++)
{
index = neuronArgs.connections[x].index;
if (index + 1 <= neuronListArgs.Length)
{
newNeuron.connections.Add(neuronListArgs[index]);
}
}
return newNeuron;
}
public Neuron[] ConnectInput(Neuron[] neuronListArgs, Neuron neuron)
{
Neuron[] neuronList = neuronListArgs;
int randomInt = random.Next(2);
int connections = 0;
while (connections == 0)
{
for (int x = 0; x < neuronListArgs.Length; x++)
{
if (randomInt == 1)
{
neuronListArgs[x].connections.Add(neuron);
connections += 1;
}
randomInt = random.Next(2);
}
}
return neuronList;
}
public NeuralNetwork(int inputCount, int hiddenCount, int outputCount)
{
input = new Neuron[inputCount];
for (int x = 0; x < input.Length; x++)
{
input[x] = new Neuron(x, 0);
}
hidden = new Neuron[hiddenCount];
for (int x = 0; x < hidden.Length; x++)
{
hidden[x] = new Neuron(x, 1);
hidden[x].index = x;
hidden[x].layer = 1;
}
output = new Neuron[outputCount];
for (int x = 0; x < output.Length; x++)
{
output[x] = new Neuron(x, 2);
output[x].index = x;
output[x].layer = 2;
}
}
public void EstablishExistingNetwork(Neuron[] inputArgs, Neuron[] hiddenArgs, Neuron[] outputArgs)
{
input = inputArgs;
hidden = hiddenArgs;
output = outputArgs;
}
public Neuron CreateHidden(int index, bool negative)
{
Neuron newNeuron = new Neuron(index, 1);
newNeuron.negative = negative;
return newNeuron;
}
public Neuron MutateNeuron(Neuron neuron, Neuron[] neuronList)
{
Neuron newNeuron = neuron;
newNeuron.connections.Clear();
int randomInt = random.Next(2);
while (newNeuron.connections.Count == 0)
{
for (int x = 0; x < neuronList.Length; x++)
{
if (randomInt == 1)
newNeuron.connections.Add(neuronList[x]);
randomInt = random.Next(2);
}
}
return newNeuron;
}
