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) ); } }}