org.encog.neural.neat.training.opp.links

## Interface MutateLinkWeight

- All Known Implementing Classes:
    MutatePerturbLinkWeight, MutateResetLinkWeight

      public interface MutateLinkWeight

  This interface defines various ways that a NEAT network can have its link weights mutated. ----------------------------------------------------------------------------- http://www.cs.ucf.edu/~kstanley/ Encog's NEAT implementation was drawn from the following three Journal Articles. For more complete BibTeX sources, see NEATNetwork.java. Evolving Neural Networks Through Augmenting Topologies Generating Large-Scale Neural Networks Through Discovering Geometric Regularities Automatic feature selection in neuroevolution

- - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `EvolutionaryAlgorithm` | `getTrainer()`
    `void` | `init(EvolutionaryAlgorithm theTrainer)` Setup the link mutator.
    `void` | `mutateWeight(Random rnd, NEATLinkGene linkGene, double weightRange)` Perform the weight mutation on the specified link.

- - ### Method Detail

    - #### getTrainer

          EvolutionaryAlgorithm getTrainer()

      Returns:
        The training class that this mutator is being used with.

    - #### init

          void init(EvolutionaryAlgorithm theTrainer)

      Setup the link mutator.
      Parameters:
        `theTrainer` - The training class that this mutator is used with.

    - #### mutateWeight

          void mutateWeight(Random rnd,
                          NEATLinkGene linkGene,
                          double weightRange)

      Perform the weight mutation on the specified link.
      Parameters:
        `rnd` - A random number generator.
        `linkGene` - The link to mutate.
        `weightRange` - The weight range, weights are between -weightRange and +weightRange.

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