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); }); }