public ILayer CreateLayer(int type, int numberOfNeurons, IActivationFunction activationFunction)
{
ILayer layer = null;
switch (type)
{
case TYPE_ACTIVATION:
layer = new ActivationLayer();
for (int i = 0; i < numberOfNeurons; i++)
{
var neuron = new ActivationNeuron(numberOfNeurons, activationFunction);
layer.AddLayer(neuron);
}
break;
case TYPE_DISTANCE:
layer = new DistanceLayer();
for (int i = 0; i < numberOfNeurons; i++)
{
var neuron = new DistanceNeuron(numberOfNeurons);
layer.AddLayer(neuron);
}
break;
default:
throw new ArgumentException();
}
return(layer);
}
public void CreateDistanceLayerTest()
{
LayerFactory factory = new LayerFactory();
IActivationFunction ActivationThresHold = new ThresholdFunction();
DistanceLayer layer = (DistanceLayer)factory.CreateLayer(NETWORK_TYPE_DISTANCE, INPUT_COUNT, ActivationThresHold);
Assert.Equal(3, layer.GetNeuronCount());
DistanceNeuron actNeuron = (DistanceNeuron)layer.GetNeuron(1);
Assert.NotNull(actNeuron);
List <ISynapse> inputs = actNeuron.FetchInputs();
Assert.NotNull(inputs);
Assert.Equal(INPUT_COUNT, inputs.Count);
ISynapse input = inputs[1];
Assert.True(input.Weight != 0);
}
public void AddLayer(object neuron)
{
DistanceNeuron DistNeuron = (DistanceNeuron)neuron;
Neurons.Add(DistNeuron);
}
