public void AddSynapsis(Synapse s, bool direction)
{
if (!direction)
{
LeftS.Add(s);
}
else
{
RightS.Add(s);
}
}
public void CreateSynapsisNetwork(HiddenLayer hl)
{
int k = 0;
for (int i = 0; i < Neurons.Length; i++)
{
for (int j = 0; j < hl.Neurons.Length; j++)
{
Synapse temp = new Synapse(WeightRecords[k], hl.Neurons[j], Neurons[i]);
hl.Neurons[j].AddSynapsis(temp, true);
Neurons[i].AddSynapsis(temp);
k++;
}
}
}
public void CreateSynapsisNetwork(InputLayer il)
{
int k = 0;
for (int i = 0; i < Neurons.Length; i++)
{
for (int j = 0; j < il.Neurons.Length; j++)
{
Synapse temp = new Synapse(WeightRecords[k], il.Neurons[j], Neurons[i]);
il.Neurons[j].AddSynapsis(temp);
Neurons[i].AddSynapsis(temp, false);
k++;
}
}
}
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);
}
public void AddSynapsis(Synapse s)
{
RightS.Add(s);
}
public void AddSynapsis(Synapse s)
{
LeftS.Add(s);
}
