public static Network CopyNetwork(Network original)
{
Network ret = new Network(original.Transform);
original.UpdateIndices();
//Creating Neurons
for (int i = 0; i < original.Inputs.Count; i++)
{
ret.CreatePerceptron(original.Inputs[i].Transform);
}
for (int i = 0; i < original.Body.Count; i++)
{
ret.CreateNeuron(original.Body[i].Threshhold, original.Body[i].Transform);
}
for (int i = 0; i < original.Outputs.Count; i++)
{
ret.CreateConsolidator(original.Outputs[i].Transform);
}
//Creating connections
for(int i = 0; i < ret.Neurons.Count; i++)
{
Neuron orig = original.Neurons[i];
Neuron inp = ret.Neurons[i];
for(int j = 0; j < orig.Outputs.Count; j++)
{
Neuron outp = ret.Neurons[orig.Outputs[j].Output.GlobIndex];
ret.CreateDendron(inp, outp, orig.Outputs[j].Factor);
}
}
return ret;
}
private static Network DefaultNetwork(Network n, int numInputs, int numOutputs)
{
for (int i = 0; i < numInputs; i++)
{
n.CreatePerceptron();
}
for (int i = 0; i < numOutputs; i++)
{
n.CreateConsolidator();
}
for (int i = 0; i < numInputs; i++)
{
for (int j = 0; j < numOutputs; j++)
{
n.CreateDendron(n.Inputs[i], n.Outputs[j], 1);
}
}
return n;
}
