//phillip
static List <NodeGene> NodeGeneration()
{
List <NodeGene> list = new List <NodeGene>();
SubstrateNodes temp;
int nodeId = 0;
temp = new SubstrateNodes();
temp.Function = "Identity";
temp.Id = nodeId;
nodeId++;
temp.Layer = 0;
temp.Coordinate.Add(0);
temp.Coordinate.Add(0);
temp.Type = NodeType.Bias;
list.Add(temp);
double xIncrement = Math.Abs(config.SubstrateEndX - config.SubstrateStartX) / config.SubstrateX;
double yIncrement = Math.Abs(config.SubstrateEndY - config.SubstrateStartY) / config.SubstrateY;
for (double y = config.SubstrateStartY + yIncrement / 2; y <= config.SubstrateEndY - yIncrement / 2; y += yIncrement)
{
for (double x = config.SubstrateStartX + xIncrement / 2; x <= config.SubstrateEndX - xIncrement / 2; x += xIncrement)
{
temp = new SubstrateNodes();
temp.Type = NodeType.Input;
temp.Layer = 0;
temp.Id = nodeId;
nodeId++;
temp.Function = "Identity";
temp.Coordinate.Add(x);
temp.Coordinate.Add(y);
list.Add(temp);
}
}
for (double y = config.SubstrateStartY + yIncrement / 2; y <= config.SubstrateEndY - yIncrement / 2; y += yIncrement)
{
for (double x = config.SubstrateStartX + xIncrement / 2; x <= config.SubstrateEndX - xIncrement / 2; x += xIncrement)
{
temp = new SubstrateNodes();
temp.Type = NodeType.Output;
temp.Layer = 1;
temp.Id = nodeId;
nodeId++;
temp.Function = "BipolarSigmoid";
temp.Coordinate.Add(x);
temp.Coordinate.Add(y);
list.Add(temp);
}
}
return(list);
}
public static List <NodeGene> XorNode()
{
List <NodeGene> list = new List <NodeGene>();
SubstrateNodes substrateNode1 = new SubstrateNodes();
substrateNode1.Function = "Identity";
substrateNode1.Id = 1;
substrateNode1.Layer = 0;
substrateNode1.Type = NodeType.Input;
substrateNode1.SetCoordinate(-1.0, -1.0);
list.Add((NodeGene)substrateNode1);
SubstrateNodes substrateNode2 = new SubstrateNodes();
substrateNode2.Function = "Identity";
substrateNode2.Id = 2;
substrateNode2.Layer = 0;
substrateNode2.Type = NodeType.Input;
substrateNode2.SetCoordinate(1.0, -1.0);
list.Add((NodeGene)substrateNode2);
SubstrateNodes substrateNode3 = new SubstrateNodes();
substrateNode3.Function = "Identity";
substrateNode3.Id = 3;
substrateNode3.Layer = 0;
substrateNode3.Type = NodeType.Input;
substrateNode3.SetCoordinate(-1.0, 1.0);
list.Add((NodeGene)substrateNode3);
SubstrateNodes substrateNode4 = new SubstrateNodes();
substrateNode4.Function = "Identity";
substrateNode4.Id = 4;
substrateNode4.Layer = 0;
substrateNode4.Type = NodeType.Input;
substrateNode4.SetCoordinate(1.0, 1.0);
list.Add((NodeGene)substrateNode4);
SubstrateNodes substrateNode5 = new SubstrateNodes();
substrateNode5.Function = "BipolarSigmoid";
substrateNode5.Id = 5;
substrateNode5.Layer = 1;
substrateNode5.Type = NodeType.Output;
substrateNode5.SetCoordinate(new double[2]);
list.Add((NodeGene)substrateNode5);
return(list);
}
public static void XorCreate(NetworkGenome sub, DecodedNetworks cppn)
{
SubstrateNodes substrateNode1 = sub.Nodes.Find((Predicate <NodeGene>)(n => n.Type == NodeType.Output)) as SubstrateNodes;
double[] inputs = new double[4];
int id = 0;
for (int index = 0; index < sub.Nodes.Count - 1; ++index)
{
SubstrateNodes substrateNode2 = sub.Nodes[index] as SubstrateNodes;
cppn.Flush();
inputs[0] = substrateNode2.Coordinate[0];
inputs[1] = substrateNode2.Coordinate[1];
inputs[2] = substrateNode1.Coordinate[0];
inputs[3] = substrateNode1.Coordinate[1];
cppn.SetInputs(inputs);
cppn.ActivateNetwork(5);
double[] outputs = cppn.GetOutputs();
sub.Links.Add(new LinkGene(id, substrateNode2.Id, substrateNode1.Id, outputs[0]));
}
}
public DecodedNetworks GenerateNetwork(MapWeights create, DecodedNetworks cppn)
{
for (int index = 0; index < this.net.ActivatingNodes.Count; ++index)
{
this.net.ActivatingNodes[index].links.Clear();
}
create(this.sub, cppn);
double val1 = 0.0;
foreach (LinkGene linkGene in this.sub.Links)
{
val1 = Math.Max(val1, Math.Abs(linkGene.Weight));
}
List <LinkGene> list = new List <LinkGene>();
double staticThreshold1 = Substrates.param.StaticThreshold;
DecodedNetworks.Link link1;
using (List <LinkGene> .Enumerator enumerator = this.sub.Links.GetEnumerator())
{
while (enumerator.MoveNext())
{
LinkGene link = enumerator.Current;
link.Weight *= Substrates.param.WeightRange / (2.0 * val1);
double staticThreshold2 = Substrates.param.StaticThreshold;
if (Substrates.param.ThresholdByDistance)
{
SubstrateNodes substrateNode1 = this.sub.Nodes.Find((Predicate <NodeGene>)(n => n.Id == link.Source)) as SubstrateNodes;
SubstrateNodes substrateNode2 = this.sub.Nodes.Find((Predicate <NodeGene>)(n => n.Id == link.Target)) as SubstrateNodes;
double d = 0.0;
for (int index = 0; index < substrateNode1.Coordinate.Count; ++index)
{
double num = substrateNode1.Coordinate[index] - substrateNode2.Coordinate[index];
d += num * num;
}
double num1 = Math.Sqrt(d);
staticThreshold2 += num1 * Substrates.param.StaticThreshold;
}
if (Math.Abs(link.Weight) >= staticThreshold2)
{
link1.sourceNode = link.Source;
link1.weight = link.Weight;
this.net.Neurons[link.Target].links.Add(link1);
}
}
}
for (int index = 0; index < this.net.ActivatingNodes.Count; ++index)
{
link1.sourceNode = -1;
link1.weight = 0.0;
this.net.ActivatingNodes[index].links.Add(link1);
}
if (Substrates.param.Normalize)
{
double num1 = 1.0;
for (int index1 = 0; index1 < this.net.ActivatingNodes.Count; ++index1)
{
double d = 0.0;
for (int index2 = 0; index2 < this.net.ActivatingNodes[index1].links.Count - 1; ++index2)
{
d += this.net.ActivatingNodes[index1].links[index2].weight * this.net.ActivatingNodes[index1].links[index2].weight;
}
num1 = Math.Max(num1, Math.Sqrt(d));
}
double num2 = Math.Sqrt(num1);
for (int index1 = 0; index1 < this.net.ActivatingNodes.Count; ++index1)
{
for (int index2 = 0; index2 < this.net.ActivatingNodes[index1].links.Count - 1; ++index2)
{
DecodedNetworks.Link link2;
link2.sourceNode = this.net.ActivatingNodes[index1].links[index2].sourceNode;
link2.weight = this.net.ActivatingNodes[index1].links[index2].weight / num2;
this.net.ActivatingNodes[index1].links[index2] = link2;
}
}
}
return(this.net);
}