///<summary>
/// Process data
///</summary>
public List <double> Run(List <double> input)
{
if (input.Count != this.Layers[0].Neurons.Count)
{
throw new ArgumentOutOfRangeException("Number of inputs must match the number of neurons on in the input layer");
}
for (int l = 0; l < Layers.Count; l++)
{
Layer layer = Layers[l];
for (int n = 0; n < layer.Neurons.Count; n++)
{
Neuron neuron = layer.Neurons[n];
if (l == 0)
{
neuron.Value = input[n];
}
else
{
neuron.Value = 0;
for (int np = 0; np < this.Layers[l - 1].Neurons.Count; np++)
{
neuron.Value = neuron.Value + Layers[l - 1].Neurons[np].Value * neuron.Dendrites[np].Weight;
}
neuron.Value = SigmoidFunction.logistic(neuron.Value + neuron.Bias);
}
}
}
Layer outputLayer = Layers[Layers.Count - 1];
int numOfOutputs = outputLayer.Neurons.Count;
List <double> output = new List <double>(numOfOutputs);
foreach (Neuron neuron in outputLayer.Neurons)
{
output.Add(neuron.Value);
}
return(output);
}
