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(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 LoadNN(string filename)
{
TextReader tr = new StreamReader(filename);
string line = tr.ReadLine();
List<INeuron> layer = null;
Neuron n = null;
int ni_counter = 0;
while (line != "E")
{
if (line == "M") mlp = new List<List<INeuron>>();
if (line == "L")
{
layer = new List<INeuron>();
mlp.Add(layer);
}
if (line == "I") layer.Add(new InputNeuron());
if ((line == "Pn")||(line == "P"))
{
n = new Neuron(true);
ni_counter = 0;
layer.Add(n);
}
if (line == "Pl")
{
n = new Neuron(false);
ni_counter = 0;
layer.Add(n);
}
if (line == "b")
{
string w = tr.ReadLine();
n.inputs[0].w = double.Parse(w, CultureInfo.InvariantCulture);
}
if (line == "w")
{
string w = tr.ReadLine();
NeuronInput ni = new NeuronInput();
ni.w = double.Parse(w, CultureInfo.InvariantCulture);
ni.n = mlp[mlp.Count - 2][ni_counter];
n.inputs.Add(ni);
ni_counter++;
}
line = tr.ReadLine();
}
tr.Close();
}
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);
}
}
