public void AddLayer(int NeuronCount)
{
NetworkLayer newNetworkLayer = new NetworkLayer();
newNetworkLayer.AddLayer(NeuronCount);
if (NetworkLayers.Count > 0)
{
newNetworkLayer.ConnectLayers(NetworkLayers.Last());
}
NetworkLayers.Add(newNetworkLayer);
}
public void ConnectLayers(NetworkLayer previous)
{
Random random = new Random();
foreach (Neuron pvNeuron in previous.NetworkNeurons)
{
List <Synapse> newConnections = new List <Synapse>();
foreach (Neuron nextNeuron in this.NetworkNeurons)
{
double k = random.NextDouble();
Synapse newSynapse = new Synapse(pvNeuron, nextNeuron, k / 10);
nextNeuron.Inputs.Add(newSynapse);
newConnections.Add(newSynapse);
}
pvNeuron.Outputs = newConnections;
}
}
