public Perceptron(Data.NetworkParam param)
{
if (param == null)
throw new ArgumentNullException();
layerList = new List<Layer>(param.LayerNumber);
if(param.Neurons == null || param.Neurons.Count == 0)
throw new ArgumentNullException();
int layers = param.Neurons.Count;
this.inputSize = param.Neurons[0];
this.outputSize = param.Neurons[layers - 1];
this.type = param.Type;
this.solutionLayerNr = param.SolutionLayerNr;
for (int i = 0; i < layers; i++)
{
Layer l = new Layer(i+1, param.Neurons[i]);
l.SetFunction(param.Functions[i]);
layerList.Add(l);
}
SetRandomWeights();
}
