//---------MAIN LOOP-------------------//
public void run(int iterations, PerfGraph graph, bool useGraph)
{
for (int i = 0; i < weights.Length; i++)
{
initialWeights[i] = weights[i];
}
for (int i = 0; i < nodes.Count; i++)
{
for (int j = 0; j < nodes[i].weights.Length; j++)
{
initialNodeWeights[i, j] = nodes[i].weights[j];
}
}
for (int i = 0; i < iterations; i++)
{
bool done = true;
graph.updateLabel_individual("MLP on epoch:" + i);
for (int j = 0; (j < inputs.Count); j++)
{
setNodeOutputs(j);
setOutput(j);
setOutputError(j);
setNodeErrors(j);
changeOutputWeights(j);
changeInputWeights(j);
if (useGraph)
{
graph.updateRates(inputs[j].expectedOutput, inputs[j].output);
//Console.WriteLine(inputs[j].error);
}
if (Math.Abs(inputs[j].error) > 0.01)
{
done = false;
}
}
if (useGraph)
{
graph.updateMSE(meanSquaredError());
}
if (done)
{
break;
}
}
}
public EvolutionMgr(PerfGraph graph, string file, bool evolveWeights, bool evolveFunction, int popSize, int iterations, double mutationRate, double crossoverRate, int minWeight, int maxWeight, bool useGraph)
{
this.file = file;
this.popSize = popSize;
this.iterations = iterations;
this.mutationRate = mutationRate;
this.crossoverRate = crossoverRate;
this.minWeight = minWeight;
this.maxWeight = maxWeight;
this.evolveFunction = evolveFunction;
this.evolveWeights = evolveWeights;
this.graph = graph;
this.useGraph = useGraph;
initMLP();
calculatePopToEvolve();
}
//---------MAIN LOOP-------------------//
public void run(int iterations, PerfGraph graph, bool useGraph)
{
for (int i = 0; i < weights.Length; i++)
{
initialWeights[i] = weights[i];
}
for(int i = 0; i < nodes.Count; i++)
{
for(int j = 0; j< nodes[i].weights.Length; j++)
{
initialNodeWeights[i, j] = nodes[i].weights[j];
}
}
for(int i = 0; i < iterations; i ++)
{
bool done = true;
graph.updateLabel_individual("MLP on epoch:" + i);
for (int j = 0; (j<inputs.Count); j++)
{
setNodeOutputs(j);
setOutput(j);
setOutputError(j);
setNodeErrors(j);
changeOutputWeights(j);
changeInputWeights(j);
if (useGraph)
{
graph.updateRates(inputs[j].expectedOutput, inputs[j].output);
//Console.WriteLine(inputs[j].error);
}
if (Math.Abs(inputs[j].error) > 0.01)
{
done = false;
}
}
if (useGraph)
{
graph.updateMSE(meanSquaredError());
}
if (done)
{
break;
}
}
}
