public void NodgeWB(float Eta)
{
WeightRecords.Clear();
BiasRecords.Clear();
for (int i = 0; i < NeuronNumber; i++)
{
Neurons[i].NodgeWB(Eta);
for (int j = 0; j < Neurons[i].LeftS.Count; j++)
{
WeightRecords.Add(Neurons[i].LeftS[j].Weight);
}
BiasRecords.Add(Neurons[i].Bias);
}
DataStream.Instance.WriteWBOnFile(WeightRecords, "Weights/s_outputL.json");
DataStream.Instance.WriteWBOnFile(BiasRecords, "Biases/b_outputL.json");
}
public void Init_CreateSynapsisNetwork(HiddenLayer hl)
{
Random rn = new Random();
for (int i = 0; i < Neurons.Length; i++)
{
for (int j = 0; j < hl.Neurons.Length; j++)
{
float weightTemp = ((float)rn.Next(-10, 10)) / 10.0f;
Synapse temp = new Synapse(weightTemp, hl.Neurons[j], Neurons[i]);
hl.Neurons[j].AddSynapsis(temp, true);
Neurons[i].AddSynapsis(temp, false);
WeightRecords.Add(weightTemp);
}
}
DataStream.Instance.WriteWBOnFile(WeightRecords, SynapsesFile);
}