Encog神经网络验证/测试

Question

Encog神经网络验证/测试

javavalidationneural-networkartificial-intelligenceencog

3

我使用Encog库实现了以下神经网络：

MLDataSet trainingSet = new BasicMLDataSet(XOR_INPUT, XOR_IDEAL);

    final Propagation  train =  new Backpropagation(network, trainingSet);
    int epoch = 1;
    do {
        train.iteration();
        System.out.println("Epoch #" + epoch + 
                " Error:" + train.getError());
                epoch++;

    } while (train.getError() < 0.009);

    double e = network.calculateError(trainingSet);
    System.out.println("Network trained to error :" + e);
    System.out.println("Saving Network");


    EncogDirectoryPersistence.saveObject(new File(FILENAME), network);
}


public void loadAndEvaluate(){
    System.out.println("Loading Network");
    BasicNetwork network = (BasicNetwork) EncogDirectoryPersistence.loadObject(new File(FILENAME));

    BasicMLDataSet trainingSet = new BasicMLDataSet(XOR_INPUT,XOR_IDEAL);

    double e = network.calculateError(trainingSet);

    System.out.println("Loaded network's error is (should be the same as above ):" + e);

}

这将输出错误信息。但我想使用自定义数据测试，并检查一组数据的输出是否为

。

- jee1tha

1个回答

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- Frank Ibem · Answer 1

我看到你正在跟随持久性示例。要获得某些输入的输出，请使用“compute”函数。例如：

    double[] output = new double[1];
    network.compute(new double[]{1.0, 1.0}, output);
    System.out.println("Network output: " + output[0] + " (should be close to 0.0)");

这里是Java用户指南。它非常有帮助。