private TrainStats ExecuteSingleIteration(ArchitectureTestConfig config)
{
var neuralNetworkBuilder = new NeuralNetworkBuilder()
.SetActivationFunction(new SigmoidActivationFunction())
.SetErrorFunction(new MeanSquaredErrorFunction(1))
.SetNumberOfInputNeurons(2)
.SetNumberOfHiddenNeurons(config.NumberOfHiddenNeurons)
.SetNumberOfOutputNeurons(1);
if (config.EnableBias)
{
neuralNetworkBuilder.AddBiasConnections();
}
var network = neuralNetworkBuilder.Build();
var trainer = new Trainer(neuralNetwork: network, learningRate: 0.01, logger: new DummyLogger());
var trainDataCollection = new[]
{
new TrainData(new double [] { 0, 0 }, new double [] { 1 }),
new TrainData(new double [] { 1, 0 }, new double [] { 0 }),
new TrainData(new double [] { 0, 1 }, new double [] { 0 }),
new TrainData(new double [] { 1, 1 }, new double [] { 1 }),
};
var trainStats = trainer.Train(trainDataCollection, numberOfEpochs: _maxNumberOfEpochs, terminalEpochError: _terminalEpochError);
return(trainStats);
}
private IEnumerable <TrainStats> TestConfiguration(ArchitectureTestConfig config)
{
var trainStatsCollection = new ConcurrentBag <TrainStats>();
Parallel.For(0, _numberOfTests, x =>
{
trainStatsCollection.Add(ExecuteSingleIteration(config));
});
return(trainStatsCollection);
}
