neuroph Perceptron Sample

 

错误：

Exception in thread "main" java.lang.NoClassDefFoundError: org/slf4j/LoggerFactory
    at org.neuroph.core.NeuralNetwork.<init>(NeuralNetwork.java:106)
    at org.neuroph.nnet.Perceptron.<init>(Perceptron.java:56)
    at PerceptronSample.main(PerceptronSample.java:24)
Caused by: java.lang.ClassNotFoundException: org.slf4j.LoggerFactory
    at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
    ... 3 more

解决方法：

https://www.slf4j.org/download.html

下载 slf4j-1.7.24.zip 并且解压；

引用以下jar：

slf4j-api-1.7.24.jar

slf4j-log4j12-1.7.24.jar

 =========================

错误：

Caused by: java.lang.ClassNotFoundException: org.apache.log4j.Level
    at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
    at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
    at java.security.AccessController.doPrivileged(Native Method)
    at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:358)

 

解决方法：

http://logging.apache.org/log4j/1.2/download.html

http://www.apache.org/dyn/closer.cgi/logging/log4j/1.2.17/log4j-1.2.17.zip

下载 log4j-1.2.17.zip

解压

引用 log4j-1.2.17.jar

===========================

跑 neuroph 需要引用 neuroph-core-2.93.jar ，并且引用以上的几个jar。

 

// require java 1.8
// jar:  D:\Neuroph\neuroph-2.93b\neuroph-2.93b\neuroph-core-2.93.jar
// java.lang.ClassNotFoundException: org.slf4j.LoggerFactory
// 这种情况，一般是在lib包下缺少两个jar文件，这两个jar文件是：slf4j-api-1.5.0和slf4j-log4j12-1.5.0，他们的位置在：
// spring-framework-2.5.6\lib\slf4j文件夹下。
// https://www.slf4j.org/


import java.util.Arrays;
import org.neuroph.core.NeuralNetwork;
import org.neuroph.nnet.Perceptron;
import org.neuroph.core.data.DataSet;
import org.neuroph.core.data.DataSetRow;

/**
* This sample shows how to create, train, save and load simple Perceptron neural network
*/
public class PerceptronSample {

    public static void main(String args[]) {

        // create training set (logical AND function)
        DataSet trainingSet = new DataSet(2, 1);
        trainingSet.addRow(new DataSetRow(new double[]{0, 0}, new double[]{0}));
        trainingSet.addRow(new DataSetRow(new double[]{0, 1}, new double[]{0}));
        trainingSet.addRow(new DataSetRow(new double[]{1, 0}, new double[]{0}));
        trainingSet.addRow(new DataSetRow(new double[]{1, 1}, new double[]{1}));

        // create perceptron neural network
        NeuralNetwork myPerceptron = new Perceptron(2, 1);

        // learn the training set
        myPerceptron.learn(trainingSet);

        // test perceptron
        System.out.println("Testing trained perceptron");
        testNeuralNetwork(myPerceptron, trainingSet);

        // save trained perceptron
        myPerceptron.save("mySamplePerceptron.nnet");

        // load saved neural network
        NeuralNetwork loadedPerceptron = NeuralNetwork.createFromFile("mySamplePerceptron.nnet");

        // test loaded neural network
        System.out.println("Testing loaded perceptron");
        testNeuralNetwork(loadedPerceptron, trainingSet);

    }

    public static void testNeuralNetwork(NeuralNetwork nnet, DataSet tset) {

        for(DataSetRow dataRow : tset.getRows()) {

            nnet.setInput(dataRow.getInput());
            nnet.calculate();
            double[ ] networkOutput = nnet.getOutput();
            System.out.print("Input: " + Arrays.toString(dataRow.getInput()) );
            System.out.println(" Output: " + Arrays.toString(networkOutput) );

        }

    }

}