Examples of org.encog.neural.pattern.HopfieldPattern

org.encog.neural.pattern.HopfieldPattern
Create a Hopfield pattern. A Hopfield neural network has a single layer that functions both as the input and output layers. There are no hidden layers. Hopfield networks are used for basic pattern recognition. When a Hopfield network recognizes a pattern, it "echos" that pattern on the output. @author jheaton

    dialog.getNeuronCount().setValue(hopfield.getNeuronCount());


    if (dialog.process()
        && (hopfield.getNeuronCount() != dialog.getNeuronCount()
            .getValue())) {
      HopfieldPattern pattern = new HopfieldPattern();
      pattern.setInputNeurons(dialog.getNeuronCount().getValue());
      setDirty(true);
      produceReport();
    }
  }

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  private static MLMethod createHopfield() {
    CreateHopfieldDialog dialog = new CreateHopfieldDialog(EncogWorkBench
        .getInstance().getMainWindow());
    if (dialog.process()) {
      HopfieldPattern hopfield = new HopfieldPattern();
      hopfield.setInputNeurons(dialog.getNeuronCount().getValue());
      return hopfield.generate();
    } else
      return null;
  }

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Related Classes of org.encog.neural.pattern.HopfieldPattern

org.encog.neural.thermal.HopfieldNetwork

org.encog.workbench.process.CreateNeuralNetwork

org.encog.workbench.tabs.mlmethod.MLMethodTab

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