Encog神经网络验证/测试
Encog神经网络验证/测试
提问于 2016-08-17 09:22:48
我使用encog库实现了一个神经网络，如下所示
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。但是我想用自定义数据来测试它，并检查为一组数据提供的输出是否为
回答 1
Stack Overflow用户
回答已采纳
发布于 2016-08-20 16:39:15
我看到您正在遵循一个持久化示例。要获得某些输入的输出，请使用“计算”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)");下面是，java用户指南。这很有帮助。
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原文链接：
https://stackoverflow.com/questions/38992681
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