Package org.encog.neural.freeform.training

Examples of org.encog.neural.freeform.training.FreeformResilientPropagation

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    MLTrain train;

    if (method instanceof SVM) {
      train = new SVMTrain((SVM)method, dataSet);
    } if(method instanceof FreeformNetwork ) {
      train = new FreeformResilientPropagation((FreeformNetwork) method, dataSet);
    } else {
      train = new ResilientPropagation((ContainsFlat)method, dataSet);
    }
    EncogUtility.trainToError(train, error);
  }
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  {
    MLDataSet trainingData = new BasicMLDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);
   
    FreeformNetwork network = NetworkUtil.createXORFreeformNetworkUntrained();

    MLTrain bprop = new FreeformResilientPropagation(network, trainingData);
    NetworkUtil.testTraining(trainingData,bprop,0.01);
  }
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  public void testEncode() {
   
    // train (and test) a network
    MLDataSet trainingData = new BasicMLDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);   
    FreeformNetwork trainedNetwork = NetworkUtil.createXORFreeformNetworkUntrained();
    MLTrain bprop = new FreeformResilientPropagation(trainedNetwork, trainingData);
    NetworkUtil.testTraining(trainingData,bprop,0.01);
   
    trainedNetwork = (FreeformNetwork) bprop.getMethod();
   
    // allocate space to encode to
    double[] encoded = new double[trainedNetwork.encodedArrayLength()];
   
    // encode the network
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Related Classes of org.encog.neural.freeform.training.FreeformResilientPropagation

  • org.encog.neural.freeform.task.ConnectionTask
  • org.encog.neural.freeform.TestFreeform
  • org.encog.neural.freeform.TestFreeformTraining
  • org.encog.util.simple.EncogUtility
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