public double AskNeuralNetwork(double[] input)
{
Network.Network network = new Network.Network(_inputData[0].Length, _numberOfHiddenLayers, _networkTopology);
network.InitializeNetwork();
network.SetWeights(_archive[0]);
return network.CalculateOutputForOneExample(input);
}
private void ComputeFitness()
{
//for (int i = 0; i < _2archiveSize; i++)
//{
// Network.Network network = new Network.Network(_inputData[0].Length, _numberOfHiddenLayers, _networkTopology);
// network.InitializeNetwork();
// network.SetWeights(_archive[i]);
// _fitnessVector[i] = calculateMAEForAllExamples(network);
//}
Parallel.For(0, _2archiveSize, i =>
{
Network.Network network = new Network.Network(_inputData[0].Length, _numberOfHiddenLayers, _networkTopology);
network.InitializeNetwork();
network.SetWeights(_archive[i]);
_fitnessVector[i] = CalculateMaeForAllExamples(network);
});
}
