Package org.encog.neural.neat.training

Examples of org.encog.neural.neat.training.NEATInnovationList

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      add(genome);
    }

    // create initial innovations
    NEATGenome genome = (NEATGenome) this.getGenomes().get(0);
    this.setInnovations(new NEATInnovationList(this, genome.getLinks(),
        genome.getNeurons()));

  }
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  }

  @Override
  public Object read(InputStream is) {
    NEATPopulation result = new NEATPopulation();
    NEATInnovationList innovationList = new NEATInnovationList();
    innovationList.setPopulation(result);
    result.setInnovations(innovationList);
    EncogReadHelper in = new EncogReadHelper(is);
    Map<Integer, Species> speciesMap = new HashMap<Integer, Species>();
    Map<Species, Integer> leaderMap = new HashMap<Species, Integer>();
    Map<Integer, Genome> genomeMap = new HashMap<Integer, Genome>();
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    }
    defaultSpecies.setLeader(defaultSpecies.getMembers().get(0));
    getSpecies().add(defaultSpecies);

    // create initial innovations
    setInnovations(new NEATInnovationList(this));
  }
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  public Object read(final InputStream is) {
    long nextInnovationID = 0;
    long nextGeneID = 0;

    final NEATPopulation result = new NEATPopulation();
    final NEATInnovationList innovationList = new NEATInnovationList();
    innovationList.setPopulation(result);
    result.setInnovations(innovationList);
    final EncogReadHelper in = new EncogReadHelper(is);
    EncogFileSection section;

    while ((section = in.readNextSection()) != null) {
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Related Classes of org.encog.neural.neat.training.NEATInnovationList

  • org.encog.neural.neat.NEATPopulation
  • org.encog.neural.neat.PersistNEATPopulation
  • org.encog.neural.networks.training.TrainingError
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