// Unit Tested
public NeuralNetwork CreateNetwork(bool bestOfAll = false, bool leader = false)
{
//newPerceptronsObjects.Clear();
while (perceptrons.Count < newPerceptronsObjects.Count)
{
newPerceptronsObjects.RemoveAt(newPerceptronsObjects.Count - 1);
}
for (int i = 0; i < this.perceptrons.Count; i++)
{
if (i < newPerceptronsObjects.Count)
{
newPerceptronsObjects[i].SetPerceptron(perceptrons[i]);
}
else
{
Perceptron perceptron = new Perceptron(perceptrons[i]);
newPerceptronsObjects.Add(perceptron);
}
}
for (int i = 0; i < connections.Count; i++)
{
if (connections[i].enabled)
{
Perceptron from = null;
Perceptron to = null;
int index;
index = GetElementPos(connections[i].from);
from = newPerceptronsObjects[index];
index = GetElementPos(connections[i].to);
to = newPerceptronsObjects[index];
from.AddOutLink(connections[i].weight, from, to, connections[i].recurrent);
to.AddInLink(connections[i].weight, from, to, connections[i].recurrent);
}
}
for (int i = 0; i < newPerceptronsObjects.Count; i++)
{
newPerceptronsObjects[i].Finish();
}
if (network != null)
{
network.SetNeuralNetwork(ref newPerceptronsObjects, inputs, bestOfAll, leader);
}
else
{
network = new NeuralNetwork(ref newPerceptronsObjects, inputs, bestOfAll, leader);
}
return(network);
}