public void NextTestSubject()
{
genAlg.SetGenomeFitness(currentAgentFitness, genAlg.GetCurrentGenomeIndex());
currentAgentFitness = 0.0f;
Genome genome = genAlg.GetNextGenome();
neuralNet.FromGenome(genome, nnSettings.numInputs, nnSettings.numNeuronsPerHidden, nnSettings.numOutputs);
}
// Use this for initialization
void Start()
{
genAlg = new GeneticAlg();
int totalWeights = ((nnSettings.numInputs + 1) * nnSettings.numNeuronsPerHidden)
+ (nnSettings.numNeuronsPerHidden + 1) * nnSettings.numOutputs;
genAlg.GenerateNewPopulation(populationPerGeneration, totalWeights);
currentAgentFitness = 0.0f;
bestFitness = 0.0f;
currentTimer = 0.0f;
neuralNet = new NeuralNet();
neuralNet.CreateNet(1, nnSettings.numInputs, nnSettings.numNeuronsPerHidden, nnSettings.numOutputs);
Genome genome = genAlg.GetNextGenome();
//neuralNet.FromGenome (genome, 5, 8, 2);
neuralNet.FromGenome(genome, nnSettings.numInputs, nnSettings.numNeuronsPerHidden, nnSettings.numOutputs);
}
