static void Main(string[] args)
{
// http://habrahabr.ru/post/144881/
int threshold = 10; // It is neuron threshold. Incrementing this value we make neuron more accuratem but it takes more time to learn.
int neuronTarget = 5; // It is neuron's target value to recognize. He will be trained to do it well.
Neuron neuron = new Neuron(threshold, neuronTarget);
List<TrainingData> trainingDataCollection = new TrainingDataProvider().ProvideTrainingData();
NeuronTrainer trainer = new NeuronTrainer(neuron); // trainer will take care about training scales of neoron's synapses.
for (int i = 0; i < 10; i++)
{
// During training step neuron will take inbound impact and trainer will correct our neuron's synapses according to its answers.
// We are going intentionally skip impact with code "5.6". Having this not learned impact we will be able to check our neuron after training
trainer.Train(trainingDataCollection.Where(x => x.Code != "5.6").ToList().Shuffle<TrainingData>());
}
Debug.WriteLine("Neuron's synapses after complex training:");
Debug.WriteLine(neuron);
// Now neuron will try to recognize new unknown impact.
var isRecognized = neuron.Recognize(trainingDataCollection.Where(x => x.Code == "5.6").FirstOrDefault());
Debug.WriteLine("Is recognized unknown correct impact: " + isRecognized);
// Lets check that our neuron works as expected giving to him the most complicated impact.
isRecognized = neuron.Recognize(trainingDataCollection.Where(x => x.Code == "6").FirstOrDefault());
Debug.WriteLine("Is recognized known incorrect impact: " + isRecognized);
}
public NeuronTrainer(Neuron neuron)
{
this.neuron = neuron;
}
