Package org.encog.neural.som.training.basic

Examples of org.encog.neural.som.training.basic.BasicTrainSOM.iteration()

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    int iteration = 0;
   
    for(iteration = 0;iteration<=10;iteration++)
    {
      train.iteration();
      System.out.println("Iteration: " + iteration + ", Error:" + train.getError());
    }
   
    MLData data1 = new BasicMLData(SOM_INPUT[0]);
    MLData data2 = new BasicMLData(SOM_INPUT[1]);
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        startup(file, train, somDialog.getMaxError().getValue() / 100.0);
      }
    } else if (sel.getSelected() == selectSOMClusterCopy) {
      SOMClusterCopyTraining train = new SOMClusterCopyTraining(
          (SOM) file.getObject(), trainingData);
      train.iteration();
      if (EncogWorkBench.askQuestion("SOM", "Training done, save?")) {
        file.save();
      } else {
        file.revert();
      }
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        training, new NeighborhoodSingle());
    train.setForceWinner(true);
    int iteration = 0;

    for (iteration = 0; iteration <= 100; iteration++) {
      train.iteration();
    }

    final MLData data1 = new BasicMLData(
        TestCompetitive.SOM_INPUT[0]);
    final MLData data2 = new BasicMLData(
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        training, new NeighborhoodSingle());
    train.setForceWinner(true);
    int iteration = 0;

    for (iteration = 0; iteration <= 100; iteration++) {
      train.iteration();
    }

    final MLData data1 = new BasicMLData(
        TestCompetitive.SOM_INPUT[0]);
    final MLData data2 = new BasicMLData(
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