/// <summary>
/// Create next generation.
/// </summary>
/// <returns>Next generation NeuralNetwork.</returns>
public NeuralNetwork NextGeneration()
{
NeuralNetwork rtnn = new NeuralNetwork(sourceNetwork);
//create new
if (first)
{
rtnn.CopyWeightsAndBiases(sourceNetwork);
first = false;
}
else
{
if (breeding && bestLoss <= maxBreedingLoss)
{
if (bestNetwork != null && secondBestNetwork != null)
{
rtnn.CopyWeightsAndBiases(bestNetwork);
rtnn.Breed(secondBestNetwork);
if (lossDelta > 0.0f)
{
rtnn.Mutate(lossDelta);
}
}
else
{
rtnn.RandomizeWeightsAndBiases();
}
}
else
{
rtnn.RandomizeWeightsAndBiases();
}
}
return(rtnn);
}
