Examples of BAMPattern

org.encog.neural.pattern.BAMPattern
Construct a Bidirectional Access Memory (BAM) neural network. This neural network type learns to associate one pattern with another. The two patterns do not need to be of the same length. This network has two that are connected to each other. Though they are labeled as input and output layers to Encog, they are both equal, and should simply be thought of as the two layers that make up the net.

Examples of org.encog.neural.pattern.BAMPattern

  
  private static MLMethod createBAM() {
    CreateBAMDialog dialog = new CreateBAMDialog(EncogWorkBench
        .getInstance().getMainWindow());
    if (dialog.process()) {
      BAMPattern bam = new BAMPattern();
      bam.setF1Neurons(dialog.getLayerACount().getValue());
      bam.setF2Neurons(dialog.getLayerBCount().getValue());
      return bam.generate();
    } else
      return null;
  }

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