Package org.encog.neural.networks.training.pnn

Examples of org.encog.neural.networks.training.pnn.TrainBasicPNN

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    BasicMLDataSet trainingSet = new BasicMLDataSet(XOR.XOR_INPUT,
        XOR.XOR_IDEAL);

    System.out.println("Learning...");

    TrainBasicPNN train = new TrainBasicPNN(network, trainingSet);
    train.iteration();
    XOR.verifyXOR(network, 0.001);
    return network;   
  }
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    BasicPNN network = new BasicPNN(PNNKernelType.Gaussian, mode, 2, 1);

    BasicMLDataSet trainingSet = new BasicMLDataSet(XOR.XOR_INPUT,
        XOR.XOR_IDEAL);

    TrainBasicPNN train = new TrainBasicPNN(network, trainingSet);
    train.iteration();
   
    XOR.verifyXOR(network, 0.01);
  }
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    BasicPNN network = new BasicPNN(PNNKernelType.Gaussian, mode, 2, 2);

    BasicMLDataSet trainingSet = new BasicMLDataSet(XOR.XOR_INPUT,
        XOR.XOR_IDEAL);

    TrainBasicPNN train = new TrainBasicPNN(network, trainingSet);
    train.iteration();
   
    XOR.verifyXOR(network, 0.01);
  }
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      throw new EncogError(
          "PNN training cannot be used on a method of type: "
              + method.getClass().getName());
    }

    return new TrainBasicPNN((BasicPNN) method, training);
  }
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      throw new EncogError(
          "PNN training cannot be used on a method of type: "
              + method.getClass().getName());
    }

    return new TrainBasicPNN((BasicPNN) method, training);
  }
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    BasicPNN network = new BasicPNN(PNNKernelType.Gaussian, mode, 2, 1);

    BasicMLDataSet trainingSet = new BasicMLDataSet(XOR.XOR_INPUT,
        XOR.XOR_IDEAL);

    TrainBasicPNN train = new TrainBasicPNN(network, trainingSet);
    train.iteration();
   
    XOR.verifyXOR(network, 0.01);
  }
View Full Code Here
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    BasicPNN network = new BasicPNN(PNNKernelType.Gaussian, mode, 2, 2);

    BasicMLDataSet trainingSet = new BasicMLDataSet(XOR.XOR_INPUT,
        XOR.XOR_IDEAL);

    TrainBasicPNN train = new TrainBasicPNN(network, trainingSet);
    train.iteration();
   
    XOR.verifyXOR(network, 0.01);
  }
View Full Code Here
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    BasicMLDataSet trainingSet = new BasicMLDataSet(XOR.XOR_INPUT,
        XOR.XOR_IDEAL);

    System.out.println("Learning...");

    TrainBasicPNN train = new TrainBasicPNN(network, trainingSet);
    train.iteration();
    XOR.verifyXOR(network, 0.001);
    return network;   
  }
View Full Code Here
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Related Classes of org.encog.neural.networks.training.pnn.TrainBasicPNN

  • org.encog.ml.data.basic.BasicMLData
  • org.encog.ml.data.basic.BasicMLDataSet
  • org.encog.ml.data.MLData
  • org.encog.ml.data.MLDataPair
  • org.encog.ml.factory.train.PNNTrainFactory
  • org.encog.neural.networks.training.TestTraining
  • org.encog.persist.TestPersistPNN
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