public void AddConnection(NeuralGeneNode _inputNeuron, NeuralGeneNode _outputNeuron, float _bias, bool _connectionIsEnabled,
bool _increaseInnovation = true)
{
if (connections == null)
{
connections = new List <NeuralGeneConnection>();
}
NeuralGeneConnection tmpSynapse = new NeuralGeneConnection(_inputNeuron, _outputNeuron, _connectionIsEnabled, _increaseInnovation ? currInnovation : localInnovation);
_outputNeuron.AddConnection(_inputNeuron, tmpSynapse, _bias, _connectionIsEnabled, _increaseInnovation ? currInnovation : localInnovation);
connections.Add(tmpSynapse);
if (_increaseInnovation)
{
currInnovation++;
if (IncreaseGlobalInnovation != null)
{
IncreaseGlobalInnovation(currInnovation);
}
}
else
{
localInnovation++;
}
}
public void AddConnection(IEnumerable <NeuralGeneNode> _inputNeurons, NeuralGeneNode _outputNeuron, bool _connectionIsEnabled,
bool _increaseInnovation = true)
{
if (connections == null)
{
connections = new List <NeuralGeneConnection>();
}
foreach (var inputNeuron in _inputNeurons)
{
NeuralGeneConnection tmpSynapse = new NeuralGeneConnection(inputNeuron, _outputNeuron, _connectionIsEnabled, _increaseInnovation ? currInnovation : localInnovation);
_outputNeuron.AddConnection(inputNeuron, tmpSynapse, _connectionIsEnabled, _increaseInnovation ? currInnovation : localInnovation);
connections.Add(tmpSynapse);
if (_increaseInnovation)
{
currInnovation++;
if (IncreaseGlobalInnovation != null)
{
IncreaseGlobalInnovation(currInnovation);
}
}
else
{
localInnovation++;
}
}
}
public void AddConnection(NeuralGeneNode _inputNeuron, NeuralGeneNode _outputNeuron, bool _connectionIsEnabled,
int _innovation)
{
if (connections == null)
{
connections = new List <NeuralGeneConnection>();
}
NeuralGeneConnection tmpSynapse = new NeuralGeneConnection(_inputNeuron, _outputNeuron, _connectionIsEnabled, _innovation);
_outputNeuron.AddConnection(_inputNeuron, tmpSynapse, _connectionIsEnabled, _innovation);
connections.Add(tmpSynapse);
localInnovation++;
}