使用Neuroph创建神经网络时遇到问题

Question

使用Neuroph尝试创建一个人工神经网络，结束本教程（https://www.baeldung.com/neuroph）

这是我的代码：

(VOCAB_SIZE, 4 * LATENT_SIZE) = (100, 80)

这是程序的输出：

public class Test {

    private static NeuralNetwork ann = null;

    public static void main(String args[]) {
        ann = assembleNeuralNetwork();
        trainNeuralNetwork(ann);
        ann.setInput(0, 1);
        ann.calculate();
        print("0, 1", ann.getOutput()[0], 1.0);
        ann.setInput(1, 0);
        ann.calculate();
        print("1, 0", ann.getOutput()[0], 1.0);
        ann.setInput(0, 0);
        ann.calculate();
        print("0, 0", ann.getOutput()[0], 0.0);
        ann.setInput(1, 1);
        ann.calculate();
        print("1, 1", ann.getOutput()[0], 0.0);
    }

    private static void print(String input, double output, double actual) {
        System.out.println("Testing: " + input + " Expected: " + actual + " Result: " + output);
    }

    public static NeuralNetwork assembleNeuralNetwork() {

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

        NeuralNetwork ann = new NeuralNetwork();

        ann.addLayer(0, inputLayer);
        ann.addLayer(1, hiddenLayerOne);
        ann.addLayer(2, outputLayer);
        ConnectionFactory.fullConnect(ann.getLayerAt(0), ann.getLayerAt(1));
        ConnectionFactory.fullConnect(ann.getLayerAt(1), ann.getLayerAt(2));
        ConnectionFactory.fullConnect(ann.getLayerAt(0), ann.getLayerAt(ann.getLayersCount() - 1), false);

        ann.setInputNeurons(inputLayer.getNeurons());
        ann.setOutputNeurons(outputLayer.getNeurons());
        ann.setNetworkType(NeuralNetworkType.NEURO_FUZZY_REASONER);
        return ann;
    }

    public static void trainNeuralNetwork(NeuralNetwork ann) {
        int inputSize = 2;
        int outputSize = 1;
        DataSet ds = new DataSet(inputSize, outputSize);

        ds.add(new double[] { 0, 1 }, new double[] { 1 });
        ds.add(new double[] { 1, 1 }, new double[] { 0 });
        ds.add(new double[] { 0, 0 }, new double[] { 0 });
        ds.add(new double[] { 1, 0 }, new double[] { 1 });
        BackPropagation bp = new BackPropagation();
        bp.setMaxIterations(100000);
        ann.learn(ds, bp);
    }
}

如果要测试的两个数字相同，则结果应为0，但是如果两个数字不同，则结果应为1。

我不明白我要去哪里错了。