private NeatNeuron AddNeuron(NeatNeuronType TheNeuronType = NeatNeuronType.Hidden)
{
NeatNeuron NewNeuron = new NeatNeuron((uint)AllNeurons.Count, TheNeuronType);
AllNeurons.Add((uint)AllNeurons.Count, NewNeuron);
return(NewNeuron);
}
private NeatNeuron InsertNeuron(int index, NeatNeuronType TheNeuronType = NeatNeuronType.Hidden)
{
NeatNeuron NewNeuron = new NeatNeuron((uint)AllNeurons.Count, TheNeuronType);
AllNeurons.Insert(index, (uint)AllNeurons.Count, NewNeuron);
return(NewNeuron);
}
public NeatNeuralNetwork(Stream TheStream)
{
using (BinaryReader TheBinaryReader = new BinaryReader(TheStream))
{
InputNeuronCount = TheBinaryReader.ReadInt32();
OutputNeuronCount = TheBinaryReader.ReadInt32();
AllNeurons = new OrderedDictionary(InputNeuronCount + OutputNeuronCount + 1);
TopAncestorSeed = TheBinaryReader.ReadInt32();
TheRandomizer = new System.Random(TheBinaryReader.ReadInt32());
int AllNeuronsCount = TheBinaryReader.ReadInt32();
for (int i = 0; i < AllNeuronsCount; i++)
{
uint Key = TheBinaryReader.ReadUInt32();
NeatNeuronType TheNeuronType = (NeatNeuronType)TheBinaryReader.ReadInt32();
NeatNeuron TheNeuron = new NeatNeuron(Key, TheNeuronType);
int IncomingConnectionsCount = TheBinaryReader.ReadInt32();
for (int j = 0; j < IncomingConnectionsCount; j++)
{
double TheWeight = TheBinaryReader.ReadDouble();
uint OtherNeuronKey = TheBinaryReader.ReadUInt32();
bool Enabled = TheBinaryReader.ReadBoolean();
TheNeuron.IncomingConnections.Add(new NeatConnection(TheWeight, OtherNeuronKey, Enabled));
}
AllNeurons.Add(Key, TheNeuron);
}
}
}
public NeatNeuron(NeatNeuron Main)
{
this.Key = Main.Key;
this.Value = Main.Value;
foreach (NeatConnection aNeatConnection in Main.IncomingConnections)
{
this.IncomingConnections.Add(new NeatConnection(aNeatConnection));
}
this.TheNeuronType = Main.TheNeuronType;
}
public NeatNeuron(uint Key, NeatNeuronType TheNeuronType)
{
this.Key = Key;
this.TheNeuronType = TheNeuronType;
}
