public Neuron(BinaryReader aReader, SerializationContext <Neuron> aContext)
{
byte marker = aReader.ReadByte();
if (marker != 0x3)
{
throw new System.Exception("Binarystream: expected neuron (0x3) got " + marker);
}
uint id = aReader.ReadUInt32();
type = (ENeuronType)aReader.ReadByte();
activationType = (EActivationType)aReader.ReadByte();
SigmoidBase = aReader.ReadSingle();
int count = aReader.ReadInt32();
if (count >= 0)
{
inputs = new NeuronLink[count];
}
for (int i = 0; i < count; i++)
{
int index = i;
aContext.GetObject(aReader.ReadUInt32(), (n) => inputs[index].neuron = n);
inputs[i].weight = aReader.ReadSingle();
}
aContext.RegisterObject(id, this);
}
public NeuronLayer(ENeuronType aType, int aNeuronCount)
{
type = aType;
neurons = new List <Neuron>(aNeuronCount);
for (int i = 0; i < aNeuronCount; i++)
{
neurons.Add(new Neuron(aType));
}
}
private void NeuronInit(int inovationNb, ENeuronType type)
{
InnerValue = 0;
InnovationNb = inovationNb;
Type = type;
InGenes = new List <Gene>();
OutGenes = new List <Gene>();
}
public NeuronLayer(XmlNode aNode, SerializationContext <Neuron> aContext)
{
if (aNode.Name != "Layer")
{
throw new System.Exception("Expected element 'Layer' but got '" + aNode.Name + "'");
}
type = (ENeuronType)System.Enum.Parse(typeof(ENeuronType), aNode.Attributes["type"].Value);
int count = aNode.ChildNodes.Count;
neurons = new List <Neuron>(count);
for (int i = 0; i < count; i++)
{
neurons.Add(new Neuron(aNode.ChildNodes[i], aContext));
}
}
public NeuronLayer(BinaryReader aReader, SerializationContext <Neuron> aContext)
{
byte marker = aReader.ReadByte();
if (marker != 0x2)
{
throw new System.Exception("Binarystream: expected layer (0x2) got " + marker);
}
type = (ENeuronType)aReader.ReadByte();
int count = aReader.ReadInt32();
neurons = new List <Neuron>(count);
for (int i = 0; i < count; i++)
{
neurons.Add(new Neuron(aReader, aContext));
}
}
public Neuron(XmlNode aNode, SerializationContext <Neuron> aContext)
{
if (aNode.Name != "Neuron")
{
throw new System.Exception("Expected element 'Neuron' but got '" + aNode.Name + "'");
}
var id = uint.Parse(aNode.Attributes["id"].Value);
type = (ENeuronType)System.Enum.Parse(typeof(ENeuronType), aNode.Attributes["type"].Value);
activationType = (EActivationType)System.Enum.Parse(typeof(EActivationType), aNode.Attributes["activationType"].Value);
SigmoidBase = float.Parse(aNode.Attributes["SigmoidBase"].Value);
inputs = new NeuronLink[aNode.ChildNodes.Count];
for (int i = 0; i < inputs.Length; i++)
{
int index = i;
var link = aNode.ChildNodes.Item(i);
inputs[i].weight = float.Parse(link.Attributes["weight"].Value);
var neuronId = uint.Parse(link.Attributes["neuron"].Value);
aContext.GetObject(neuronId, (n) => inputs[index].neuron = n);
}
aContext.RegisterObject(id, this);
}
public Neuron(ENeuronType aType)
{
type = aType;
}
public PackedNeuron(Neuron neuron)
{
innovationNb = neuron.InnovationNb;
type = neuron.Type;
}
public Neuron(int inovationNb, ENeuronType type = ENeuronType.Hidden)
{
NeuronInit(inovationNb, type);
}
