private void UpdateWeights()
{
if (parentWeights.Count == 0)
{
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 0)
{
neuralNetwork[i].Weights = weightsGenerator.CreateRandomWeights(20);
}
}
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 1)
{
neuralNetwork[i].Weights = weightsGenerator.CreateRandomWeights(32);
}
}
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 2)
{
neuralNetwork[i].Weights = weightsGenerator.CreateRandomWeights(128);
}
}
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 3)
{
neuralNetwork[i].Weights = weightsGenerator.CreateRandomWeights(256);
}
}
}
else
{
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 0)
{
neuralNetwork[i].Weights = geneticAlgorithm.CrossOverAndMutation(geneticAlgorithm.EvaluateFitness(neuralNetwork[i].Weights), neuralNetwork[i].Weights);
}
}
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 1)
{
neuralNetwork[i].Weights = geneticAlgorithm.CrossOverAndMutation(geneticAlgorithm.EvaluateFitness(neuralNetwork[i].Weights), neuralNetwork[i].Weights);
}
}
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 2)
{
neuralNetwork[i].Weights = geneticAlgorithm.CrossOverAndMutation(geneticAlgorithm.EvaluateFitness(neuralNetwork[i].Weights), neuralNetwork[i].Weights);
}
}
for (int i = 0; i < neuralNetwork.Count; i++)
{
if (neuralNetwork[i].LayerNumber == 3)
{
neuralNetwork[i].Weights = geneticAlgorithm.CrossOverAndMutation(geneticAlgorithm.EvaluateFitness(neuralNetwork[i].Weights), neuralNetwork[i].Weights);
}
}
}
}