public MLP(int[] counts, int input)
{
mlp = new List<List<INeuron>>();
//bemeneti reteg
List<INeuron> inputlayer = new List<INeuron>();
for (int i = 0; i < input; ++i)
{
InputNeuron n = new InputNeuron();
inputlayer.Add(n);
}
mlp.Add(inputlayer);
//rejtett retegek
int layernum = 0;
foreach (int count in counts)
{
List<INeuron> layer = new List<INeuron>();
for (int i = 0; i < count; ++i)
{
Neuron n = new Neuron((layernum < counts.Length - 1));
//elozo reteg osszes neuronja bemenet
foreach (INeuron n2 in mlp[mlp.Count-1])
{
n.AddInputNeuron(n2);
}
layer.Add(n);
}
mlp.Add(layer);
layernum++;
}
}
public MLP(int[] counts, int input)
{
mlp = new List <List <INeuron> >();
//bemeneti reteg
List <INeuron> inputlayer = new List <INeuron>();
for (int i = 0; i < input; ++i)
{
InputNeuron n = new InputNeuron();
inputlayer.Add(n);
}
mlp.Add(inputlayer);
//rejtett retegek
int layernum = 0;
foreach (int count in counts)
{
List <INeuron> layer = new List <INeuron>();
for (int i = 0; i < count; ++i)
{
Neuron n = new Neuron((layernum < counts.Length - 1));
//elozo reteg osszes neuronja bemenet
foreach (INeuron n2 in mlp[mlp.Count - 1])
{
n.AddInputNeuron(n2);
}
layer.Add(n);
}
mlp.Add(layer);
layernum++;
}
}
public void AddNeuron(int layer)
{
Neuron n = new Neuron(true);
foreach (INeuron n2 in mlp[layer - 1])
{
n.AddInputNeuron(n2);
}
mlp[layer].Add(n);
foreach (INeuron n2 in mlp[layer + 1])
{
((Neuron)n2).AddInputNeuron(n);
}
}
public MLP(MLP copyInstance)
{
mlp = new List <List <INeuron> >();
List <INeuron> inputlayer = new List <INeuron>();
for (int i = 0; i < copyInstance.mlp[0].Count; ++i)
{
InputNeuron n = new InputNeuron();
inputlayer.Add(n);
}
mlp.Add(inputlayer);
int layernum = 0;
for (int i = 1; i < copyInstance.mlp.Count; ++i)
{
List <INeuron> layer = new List <INeuron>();
for (int i2 = 0; i2 < copyInstance.mlp[i].Count; ++i2)
{
Neuron n = new Neuron(((Neuron)copyInstance.mlp[i][i2]).nonlinear);
layer.Add(n);
//elozo reteg osszes neuronja bemenet
foreach (INeuron n2 in mlp[i - 1])
{
n.AddInputNeuron(n2);
}
//sulyok atmasolasa
int i3 = 0;
foreach (NeuronInput ni in n.inputs)
{
ni.w = ((Neuron)copyInstance.mlp[i][i2]).inputs[i3].w;
++i3;
}
}
mlp.Add(layer);
layernum++;
}
}
public MLP(MLP copyInstance)
{
mlp = new List<List<INeuron>>();
List<INeuron> inputlayer = new List<INeuron>();
for (int i = 0; i < copyInstance.mlp[0].Count; ++i)
{
InputNeuron n = new InputNeuron();
inputlayer.Add(n);
}
mlp.Add(inputlayer);
int layernum = 0;
for (int i = 1; i < copyInstance.mlp.Count; ++i)
{
List<INeuron> layer = new List<INeuron>();
for (int i2 = 0; i2 < copyInstance.mlp[i].Count; ++i2)
{
Neuron n = new Neuron(((Neuron)copyInstance.mlp[i][i2]).nonlinear);
layer.Add(n);
//elozo reteg osszes neuronja bemenet
foreach (INeuron n2 in mlp[i - 1])
{
n.AddInputNeuron(n2);
}
//sulyok atmasolasa
int i3=0;
foreach (NeuronInput ni in n.inputs)
{
ni.w = ((Neuron)copyInstance.mlp[i][i2]).inputs[i3].w;
++i3;
}
}
mlp.Add(layer);
layernum++;
}
}
public void AddNeuron(int layer)
{
Neuron n = new Neuron(true);
foreach (INeuron n2 in mlp[layer - 1])
{
n.AddInputNeuron(n2);
}
mlp[layer].Add(n);
foreach (INeuron n2 in mlp[layer + 1])
{
((Neuron)n2).AddInputNeuron(n);
}
}