static public NetworkModel DecodeToNetworkModel(NeatGenome.NeatGenome g)
{
ModelNeuronList masterNeuronList = new ModelNeuronList();
// loop all neurons and build a table keyed on id.
HybridDictionary neuronTable = new HybridDictionary(g.NeuronGeneList.Count);
foreach(NeuronGene neuronGene in g.NeuronGeneList)
{
ModelNeuron modelNeuron = new ModelNeuron(neuronGene.NeuronType, neuronGene.InnovationId,neuronGene.ActivationFunction);
neuronTable.Add(modelNeuron.Id, modelNeuron);
masterNeuronList.Add(modelNeuron);
}
// Loop through all of the connections.
// Now we have a neuron table keyed on id we can attach the connections
// to their source and target neurons.
foreach(ConnectionGene connectionGene in g.ConnectionGeneList)
{
ModelConnection modelConnection = new ModelConnection();
modelConnection.Weight = connectionGene.Weight;
modelConnection.SourceNeuron = (ModelNeuron)neuronTable[connectionGene.SourceNeuronId];
modelConnection.TargetNeuron = (ModelNeuron)neuronTable[connectionGene.TargetNeuronId];
modelConnection.SourceNeuron.OutConnectionList.Add(modelConnection);
modelConnection.TargetNeuron.InConnectionList.Add(modelConnection);
}
//Sebastian. Build Model connections
foreach (ModuleGene mg in g.ModuleGeneList)
{
foreach (uint sourceID in mg.InputIds)
{
foreach (uint targetID in mg.OutputIds)
{
ModelConnection modelConnection = new ModelConnection();
modelConnection.Weight = 1.0; //TODO connectionGene.Weight;
modelConnection.SourceNeuron = (ModelNeuron)neuronTable[sourceID];
modelConnection.TargetNeuron = (ModelNeuron)neuronTable[targetID];
modelConnection.SourceNeuron.OutConnectionList.Add(modelConnection);
modelConnection.TargetNeuron.InConnectionList.Add(modelConnection);
}
}
}
return new NetworkModel(masterNeuronList);
}
static public NetworkModel DecodeToNetworkModel(ConcurrentNetwork network)
{
ModelNeuronList masterNeuronList = new ModelNeuronList();
// loop all neurons and build a table keyed on id.
Hashtable neuronTable = new Hashtable(network.MasterNeuronList.Count);
foreach(Neuron neuron in network.MasterNeuronList)
{
ModelNeuron modelNeuron = new ModelNeuron(neuron.NeuronType, neuron.Id,ActivationFunctionFactory.GetActivationFunction("NullFn"));
neuronTable.Add(modelNeuron.Id, modelNeuron);
masterNeuronList.Add(modelNeuron);
}
// Loop through all of the connections (within the neurons)
// Now we have a neuron table keyed on id we can attach the connections
// to their source and target neurons.
foreach(Neuron neuron in network.MasterNeuronList)
{
foreach(Connection connection in neuron.ConnectionList)
{
ModelConnection modelConnection = new ModelConnection();
modelConnection.Weight = connection.Weight;
modelConnection.SourceNeuron = (ModelNeuron)neuronTable[connection.SourceNeuronId];
modelConnection.TargetNeuron = (ModelNeuron)neuronTable[connection.TargetNeuronId];
modelConnection.SourceNeuron.OutConnectionList.Add(modelConnection);
modelConnection.TargetNeuron.InConnectionList.Add(modelConnection);
}
}
return new NetworkModel(masterNeuronList);
}
private void PaintNeuron(Graphics g, ModelNeuron neuron)
{
Point neuronPos = DocToViewport(neuron.Position);
// Is the neuron within the viewport area?
if(!IsPointWithinViewport(neuronPos))
{ // Don't waste time painting this neuron.
return;
}
Point p = new Point(neuronPos.X-neuronDiameterHalfed, neuronPos.Y-neuronDiameterHalfed);
Size s = new Size(neuronDiameter, neuronDiameter);
Rectangle r = new Rectangle(p,s);
Brush b;
//g.FillEllipse(brushNeuron, r);
if (neuron.ActivationFunction == NeuralNetwork.ActivationFunctionFactory.GetActivationFunction("Gaussian"))
b = brushNeuronGaussian;
else if (neuron.ActivationFunction == NeuralNetwork.ActivationFunctionFactory.GetActivationFunction("Linear"))
b = brushNeuronLinear;
else if (neuron.ActivationFunction == NeuralNetwork.ActivationFunctionFactory.GetActivationFunction("BipolarSigmoid"))
b = brushNeuronSigmoid;
else if (neuron.ActivationFunction == NeuralNetwork.ActivationFunctionFactory.GetActivationFunction("Sine"))
b = brushNeuronSine;
else
b = brushNeuronCore;
g.FillRectangle(b, r);
g.DrawRectangle(penBlack, r);
// Draw the neuron ID.
neuronPos.X += neuronDiameterHalfed+1;
neuronPos.Y -= neuronDiameterHalfed/2;
g.DrawString(neuron.Id.ToString(), fontNeuronId, brushBlack, neuronPos);
}
private void PaintNeuron(Graphics g, ModelNeuron neuron)
{
Point neuronPos = DocToViewport(neuron.Position);
// Is the neuron within the viewport area?
if(!IsPointWithinViewport(neuronPos))
{ // Don't waste time painting this neuron.
return;
}
Point p = new Point(neuronPos.X-neuronDiameterHalfed, neuronPos.Y-neuronDiameterHalfed);
Size s = new Size(neuronDiameter, neuronDiameter);
Rectangle r = new Rectangle(p,s);
//g.FillEllipse(brushNeuron, r);
g.FillRectangle(brushNeuronCore, r);
g.DrawRectangle(penBlack, r);
// Draw the neuron ID.
neuronPos.X += neuronDiameterHalfed+1;
neuronPos.Y -= neuronDiameterHalfed/2;
g.DrawString(neuron.Id.ToString(), fontNeuronId, brushBlack, neuronPos);
}
private void UpdateModelBounds(ModelNeuron neuron)
{
if(neuron.Position.X > bounds.Width)
bounds.Width = neuron.Position.X;
if(neuron.Position.Y > bounds.Height)
bounds.Height = neuron.Position.Y;
}