Example #1
0
File: Network.cs Project: alxio/gen
 public Network()
 {
     for (int i = 0; i < NETWORK_DEPTH; i++){
         _neurons[i] = new Neuron[NETWORK_BREADTH];
         for (int j = 0; j < _neurons[i].Length; j++) {
             _neurons[i][j] = new Neuron(j%2 == 0 , j==0);
         }
     }
 }
Example #2
0
File: Network.cs Project: alxio/gen
 public Network(Network n)
 {
     for (int i = 0; i < _neurons.Length; i++){
         _neurons[i] = new Neuron[NETWORK_BREADTH];
         for (int j = 0; j < _neurons[i].Length; j++){
             _neurons[i][j] = new Neuron(n._neurons[i][j]);
         }
     }
 }
Example #3
0
File: Neuron.cs Project: alxio/gen
 public Neuron(Neuron n)
 {
     _sum = n._sum;
     _first = n._first;
     if (_first) _values = new float[Network.FIRST_BREADTH];
     for (int i = 0; i < n._values.Length; i++){
         _values[i] = n._values[i];
     }
 }
Example #4
0
File: Neuron.cs Project: alxio/gen
 public static void Crossover(Neuron n1, Neuron n2)
 {
     if (n1._sum != n2._sum){
         n1._sum = !n1._sum;
         n2._sum = !n2._sum;
     }
     else if (n1._first){
         int border = Program.RandomGenerator.Next(Network.NETWORK_BREADTH);
         for (int i = 0; i < border; i++){
             float tmp = n1._values[i];
             n1._values[i] = n2._values[i];
             n2._values[i] = tmp;
         }
     }
     else
         for (int i = 0; i < n1._values.Length; i++){
             n1._values[i] = (n1._values[i] + n2._values[i])/2;
             n2._values[i] = n1._values[i];
         }
 }