public void Propagate(double[] values)
{
if (values.Length != this.InputLayer.NeuronsCount)
{
throw new Exception("Number of passed values does not match with number of input neurons");
}
// passing values to input neurons
for (int i = 0; i < values.Length; i++)
{
this.InputLayer.Neurons[i].Value = values[i];
}
// passing values to hdden layers and output layer
for (int layerIndex = 1; layerIndex < this.LayersCount; layerIndex++)
{
Layer currentLayer = this.Layers[layerIndex];
Layer previousLayer = this.Layers[layerIndex - 1];
for (int currentLayerNeuronIndex = 0; currentLayerNeuronIndex < currentLayer.NeuronsCount; currentLayerNeuronIndex++)
{
Neuron currentLayerNeuron = currentLayer.Neurons[currentLayerNeuronIndex];
currentLayerNeuron.Value = currentLayerNeuron.Bias;
for (int previousLayerNeuronIndex = 0; previousLayerNeuronIndex < previousLayer.NeuronsCount; previousLayerNeuronIndex++)
{
Neuron previousLayerNeuron = previousLayer.Neurons[previousLayerNeuronIndex];
currentLayerNeuron.Value += previousLayerNeuron.Value * previousLayerNeuron.NextDendrites[currentLayerNeuronIndex].Weight;
}
currentLayerNeuron.Value = Sigmoid.Count(currentLayerNeuron.Value);
}
}
}