/// <summary>
/// Randomizes the weights of all connections between all neurons in range of -5.0 to 5.0
/// </summary>
public void RandomizeWeights()
{
MyRandom r = new MyRandom(-0.5, 0.5);
//set random weights for output
foreach (Neuron itOut in outputLayer)
{
List <Connection> con = ((WorkingNeuron)(itOut)).connections;
foreach (Connection c in con)
{
c.SetWeight(r.NextDouble());
}
}
//set random weights for hidden
foreach (Neuron itHid in hiddenLayer)
{
WorkingNeuron wn = itHid as WorkingNeuron;
if (wn != null)
{
List <Connection> con = wn.connections;
foreach (Connection c in con)
{
c.SetWeight(r.NextDouble());
}
}
}
}
public void MutateWeightsRandom(int mutations)
{
MyRandom myrand = new MyRandom(-0.3, 0.3);
for (int i = 0; i < mutations; ++i)
{
int layer = myrand.NextInt(0, 10);
if (layer <= 6)
{
//select neuron
Neuron neuron = null;
while (neuron == null)
{
neuron = hiddenLayer.ElementAt(myrand.NextInt(0, hiddenLayer.Count - 1)) as WorkingNeuron;
}
//select connection index
int index = myrand.NextInt(0, ((WorkingNeuron)neuron).connections.Count - 1);
double w = ((WorkingNeuron)neuron).connections.ElementAt(index).GetWeight();
double change = myrand.NextDouble(-0.3, 0.3);
change *= w;
((WorkingNeuron)neuron).connections[index].SetWeight(w + change);
}
else if (layer >= 7)
{
//select neuron
Neuron neuron = null;
while (neuron == null)
{
neuron = outputLayer.ElementAt(myrand.NextInt(0, outputLayer.Count - 1)) as WorkingNeuron;
}
//select connection index
int index = myrand.NextInt(0, ((WorkingNeuron)neuron).connections.Count - 1);
double w = ((WorkingNeuron)neuron).connections.ElementAt(index).GetWeight();
double change = myrand.NextDouble(-0.3, 0.3);
change *= w;
((WorkingNeuron)neuron).connections[index].SetWeight(w + change);
}
}
}
/// <summary>
/// Randomizes the weights of all connections between all neurons in range of -5.0 to 5.0
/// </summary>
public void RandomizeWeights()
{
MyRandom r = new MyRandom(-0.5, 0.5);
for (int l = layers.Count - 1; l > 0; --l)
{
foreach (Neuron n in layers.ElementAt(l))
{
WorkingNeuron wn = n as WorkingNeuron;
if (wn != null)
{
List <Connection> con = wn.connections;
foreach (Connection c in con)
{
c.SetWeight(r.NextDouble());
}
}
}
}
}
public void MutateWeightsRandom(int mutations)
{
MyRandom myrand = new MyRandom(-0.3, 0.3);
for (int i = 0; i < mutations; ++i)
{
int layer = myrand.NextInt(1, this.layers.Count - 1);
//select neuron
Neuron neuron = null;
while (neuron == null)
{
neuron = layers.ElementAt(layer).ElementAt(myrand.NextInt(0, layers.ElementAt(layer).Count - 1)) as WorkingNeuron;
}
//select connection index
int index = myrand.NextInt(0, ((WorkingNeuron)neuron).connections.Count - 1);
double w = ((WorkingNeuron)neuron).connections.ElementAt(index).GetWeight();
double change = myrand.NextDouble(-0.3, 0.3);
change *= w;
((WorkingNeuron)neuron).connections[index].SetWeight(w + change);
}
}