public void ChangeDeltaForSynaps(Synaps synaps, double currentNeuronDelta)
{
double delta = synaps.LastWeightChange * Momentum + learningSpeed * synaps.FirstNeuron.Output * currentNeuronDelta;
synaps.LastWeightChange = delta;
synaps.Weight += delta;
}
public void CreateNetwork()
{
Neurons = new List <Neuron> [3];
Synapses = new List <Synaps>();
// Инициализация выходного слоя
Neurons[0] = new List <Neuron>();
for (int i = 0; i < InputsCount; i++)
{
Neurons[0].Add(new Neuron(i));
}
// Инициализация второго слоя
Neurons[1] = new List <Neuron>();
for (int i = 0; i < neuronsCount; i++)
{
Neurons[1].Add(new Neuron(i));
}
// Инициализация выходного слоя
Neurons[2] = new List <Neuron>();
for (int i = 0; i < OutputsCount; i++)
{
Neurons[2].Add(new Neuron(i));
}
foreach (Neuron neuron1 in Neurons[0])
{
foreach (Neuron neuron2 in Neurons[1])
{
Synaps synaps = new Synaps();
Synapses.Add(synaps);
neuron1.OutputSynapses.Add(synaps);
neuron2.InputSynapses.Add(synaps);
synaps.FirstNeuron = neuron1;
synaps.LastNeuron = neuron2;
}
}
foreach (Neuron neuron2 in Neurons[1])
{
foreach (Neuron neuron3 in Neurons[2])
{
Synaps synaps = new Synaps();
Synapses.Add(synaps);
neuron2.OutputSynapses.Add(synaps);
neuron3.InputSynapses.Add(synaps);
synaps.FirstNeuron = neuron2;
synaps.LastNeuron = neuron3;
}
}
}