Package org.encog.neural.networks.training.genetic

Examples of org.encog.neural.networks.training.genetic.GeneticScoreAdapter

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      final int populationSize) {

    this.inputCount = inputCount;
    this.outputCount = outputCount;

    setCalculateScore(new GeneticScoreAdapter(calculateScore));
    setComparator(new GenomeComparator(getCalculateScore()));
    setPopulation(new NEATPopulation(inputCount, outputCount,
        populationSize));

    init();
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    if (population.size() < 1) {
      throw new TrainingError("Population can not be empty.");
    }

    final NEATGenome genome = (NEATGenome) population.getGenomes().get(0);
    setCalculateScore(new GeneticScoreAdapter(calculateScore));
    setComparator(new GenomeComparator(getCalculateScore()));
    setPopulation(population);
    this.inputCount = genome.getInputCount();
    this.outputCount = genome.getOutputCount();
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Related Classes of org.encog.neural.networks.training.genetic.GeneticScoreAdapter

  • org.encog.ml.MLRegression
  • org.encog.neural.neat.training.NEATTraining
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