public void RestartNetwork()
{
NeuronDesirabilityMap = new double[Height, Width];
NeuronUndesirabilityMap = new double[Height, Width];
NeuronPositionMap = new Neuron[Height, Width];
NeuronAxonWayPoints = new NeuronAxonWaypoint[Height, Width];
#region Generate Random Neurons
var oldNeurons = _neurons.ToList();
var neurons = new List <Neuron>();
for (int index = 0; index < oldNeurons.Count; index++)
{
var neuron = new Neuron(index, this, AxonGuidanceForces, SomaGuidanceForces,
index >= NeuronCount ? NeuronType.Input : NeuronType.Process);
neuron.MoveTo(oldNeurons[index].PosY, oldNeurons[index].PosX);
neuron.ResetMovedDistance();
neurons.Add(neuron);
NeuronPositionMap[neuron.PosY, neuron.PosX] = neuron;
}
_neurons = neurons.ToArray();
#endregion Generate Random Neurons
_neuronsInput = neurons.GetRange(NeuronCount, InputNeuronCount).ToArray();
ActiveNeuronGenerator = new SequentialActiveInputNeuronGenerator(_neuronsInput, Math.Min(_neuronsInput.Length, 3));
_iteration = 0;
}
public void GenerateNetwork()
{
NeuronDesirabilityMap = new double[Height, Width];
NeuronUndesirabilityMap = new double[Height, Width];
NeuronPositionMap = new Neuron[Height, Width];
NeuronAxonWayPoints = new NeuronAxonWaypoint[Height, Width];
AxonGuidanceForces = GetAxonGuidanceForces();
SomaGuidanceForces = GetSomaGuidanceForces();
#region Generate Random Neurons
var neurons = new List <Neuron>();
#region generate input neurons
int generatedNeuronId = 0;
for (int index = 0; index < InputNeuronCount; index++)
{
var neuron = new Neuron(generatedNeuronId++, this, AxonGuidanceForces, SomaGuidanceForces, NeuronType.Input);
int baseIndex = NeuronInputMarginBetween * (index + 1) + 60;
int y = (baseIndex + NeuronGenerationMargin) % Height;
int x = baseIndex / Height + NeuronGenerationMargin;
neuron.MoveTo(y, x);
neuron.ResetMovedDistance();
neurons.Add(neuron);
NeuronPositionMap[neuron.PosY, neuron.PosX] = neuron;
}
#endregion
#region generate output neurons
for (int index = 0; index < OutputNeuronCount; index++)
{
var neuron = new Neuron(generatedNeuronId++, this, AxonGuidanceForces, SomaGuidanceForces, NeuronType.Output);
int baseIndex = NeuronInputMarginBetween * (index + 1) + 60;
int y = (baseIndex + NeuronGenerationMargin) % Height;
int x = Width - (baseIndex / Height + NeuronGenerationMargin);
neuron.MoveTo(y, x);
neuron.ResetMovedDistance();
neurons.Add(neuron);
NeuronPositionMap[neuron.PosY, neuron.PosX] = neuron;
}
#endregion
#region generate other neurons
for (int index = 0; index < NeuronCount; index++)
{
var neuron = new Neuron(generatedNeuronId++, this, AxonGuidanceForces, SomaGuidanceForces, NeuronType.Process);
do
{
neuron.MoveTo(_random.Next(Height - 2 * NeuronGenerationMargin) + NeuronGenerationMargin,
_random.Next(Width - 2 * (NeuronGenerationMargin + NeuronProcessMarginFromInputAndOutputNeurons)) + NeuronGenerationMargin + NeuronProcessMarginFromInputAndOutputNeurons);
}while (neurons.Any(n => n.PosX == neuron.PosX && n.PosY == neuron.PosY) ||
Extensions.GetDistanceToNearestNeuron(neuron.PosY, neuron.PosX, neuron, this) <= MinDistanceBetweenNeurons);
neuron.ResetMovedDistance();
neurons.Add(neuron);
NeuronPositionMap[neuron.PosY, neuron.PosX] = neuron;
}
#endregion
_neurons = neurons.ToArray();
#endregion Generate Random Neurons
_neuronsInput = neurons.Take(InputNeuronCount).ToArray();
_neuronsOutput = neurons.Skip(InputNeuronCount).Take(OutputNeuronCount).ToArray();
//var inputOutputNeuronBindings = new List<Tuple<Neuron, Neuron>>();
//for (int index = 0; index < InputNeuronCount; index++)
//{
// inputOutputNeuronBindings.Add(new Tuple<Neuron,Neuron>(_neuronsInput.ElementAt(index), _neuronsOutput.ElementAt(index)));
//}
BindedActiveNeuronGenerator = new PushPullBoxActivityGenerator(this, _neuronsInput, _neuronsOutput);
NormalActiveNeuronGenerator = new SequentialActiveInputNeuronGenerator(_neuronsInput, Math.Min(_neuronsInput.Length, 3));
ActiveNeuronGenerator = NormalActiveNeuronGenerator;
_iteration = 0;
}
