Question

我正在尝试将程序从Matlab移植到Java。使用Matlab是因为它具有非常全面的神经网络实现。我现在想将项目移至Java。我正在寻找Java中的综合库，并且遇到过Neuroph。因此，首先，我需要运行一个非常简单的示例，以确保在尝试移植所有内容之前一切都正常。我碰到了本教程。 https://www.baeldung.com/neuroph。我试图在Eclipse中实现它。实现没有错误，因为非常基本的NN的结果是错误的。我希望此示例为1，而我总是为零。

测试：1、0预期：1.0结果：0.0 测试：0，1预期：1.0结果：0.0 测试：1、1预期：0.0结果：0.0 测试：0，0预期：0.0结果：0.0

谁能建议为什么NN设置不正确？非常感谢

import org.neuroph.core.*;
import org.neuroph.core.data.DataSet;
import org.neuroph.core.data.DataSetRow;
import org.neuroph.nnet.learning.BackPropagation;
import org.neuroph.util.*;


public class NeuralNetworkExample {

public static void main(String[] args) {






    Layer inputLayer = new Layer();
    inputLayer.addNeuron(new Neuron());
    inputLayer.addNeuron(new Neuron());


    Layer hiddenLayerOne = new Layer();
    hiddenLayerOne.addNeuron(new Neuron());
    hiddenLayerOne.addNeuron(new Neuron());
    hiddenLayerOne.addNeuron(new Neuron());
    hiddenLayerOne.addNeuron(new Neuron());

    Layer hiddenLayerTwo = new Layer(); 
    hiddenLayerTwo.addNeuron(new Neuron()); 
    hiddenLayerTwo.addNeuron(new Neuron()); 
    hiddenLayerTwo.addNeuron(new Neuron()); 
    hiddenLayerTwo.addNeuron(new Neuron());

    Layer outputLayer = new Layer();
    outputLayer.addNeuron(new Neuron());


    NeuralNetwork<BackPropagation> ann = new NeuralNetwork<BackPropagation>();
    ann.addLayer(0, inputLayer);
    ann.addLayer(1, hiddenLayerOne);
    ConnectionFactory.fullConnect(ann.getLayerAt(0), ann.getLayerAt(1));
    ann.addLayer(2, hiddenLayerTwo);
    ConnectionFactory.fullConnect(ann.getLayerAt(1), ann.getLayerAt(2));
    ann.addLayer(3, outputLayer);
    ConnectionFactory.fullConnect(ann.getLayerAt(2), ann.getLayerAt(3));
    ConnectionFactory.fullConnect(ann.getLayerAt(0), 
      ann.getLayerAt(ann.getLayersCount()-1), false);
    ann.setInputNeurons(inputLayer.getNeurons());
    ann.setOutputNeurons(outputLayer.getNeurons());


    int input=2;
    int output=1;       
    DataSet ds = new DataSet(input,output);

    DataSetRow rOne   = new DataSetRow(new double[] {0, 1}, new double[] {1});
    ds.addRow(rOne);
    DataSetRow rTwo   = new DataSetRow(new double[] {1, 1}, new double[] {0});
    ds.addRow(rTwo);
    DataSetRow rThree = new DataSetRow(new double[] {0, 0}, new double[] {0});
    ds.addRow(rThree);
    DataSetRow rFour  = new DataSetRow(new double[] {1, 0}, new double[] {1});
    ds.addRow(rFour);


    BackPropagation backPropagation = new BackPropagation();
    backPropagation.setMaxIterations(1000);
    ann.learn(ds,backPropagation);






    ann.setInput(1,0);
    ann.calculate();
    double[] out = ann.getOutput();
    System.out.println(out[0]);





}

}

在Java中使用Neuroph

0 个答案: