public void SendSignals()
{
if (isSendSignals)
{
throw new Exception("This neuron has already send signals.");
}
foreach (Synapse synapse in synapses)
{
NeuronObj nextNeuron = synapse.NeuronObj;
nextNeuron.AddInputData(this.GetOutputData() * synapse.Weight);
}
isSendSignals = true;
}
public NeuralNetworkObj CreateWithRandomWeight(string name, int[] countNeuronsInLayer)
{
NeuralNetworkObj neuralNetworkObj = new NeuralNetworkObj(name);
for (int layerId = 0; layerId < countNeuronsInLayer.Length; layerId++)
{
Layer layer = new Layer(layerId);
if (layerId == 0)
{
layer.SetPositionFirst();
}
else if (layerId == countNeuronsInLayer.Length - 1)
{
layer.SetPositionLast();
}
for (int neuronId = 0; neuronId < countNeuronsInLayer[layerId]; neuronId++)
{
NeuronObj neuronObj = new NeuronObj(neuronId);
layer.AddNeuron(neuronObj);
}
neuralNetworkObj.AddLayer(layer);
}
Random rand = new Random();
List <Layer> layers = neuralNetworkObj.GetListLayers();
for (int layerId = 0; layerId < layers.Count - 1; layerId++)
{
Layer layer = layers[layerId];
Layer nextLayer = layers[layerId + 1];
foreach (NeuronObj neuron in layer.GetListNeurons())
{
foreach (NeuronObj nextLayerNeuron in nextLayer.GetListNeurons())
{
double weight = Convert.ToDouble(rand.Next(-100, 100)) / 100;
neuron.AddSynapse(new Synapse(nextLayerNeuron, weight));
}
}
}
return(neuralNetworkObj);
}
public void AddNeuron(NeuronObj neuronObj)
{
if (GetNeuronById(neuronObj.Id) != null)
{
throw new Exception("Neuron with this id has already added.");
}
if (isFirst)
{
neuronObj.SetPositionInFirstLayer();
}
else if (isLast)
{
neuronObj.SetPositionInLastLayer();
}
neurons.Add(neuronObj);
}
