1
所以我試圖訓練一個基本上是Perceptron的OR門。問題是它不起作用。錯誤的是0 0 - > desired = 0,actual = 1並且那個不會改變。另外,當我將權重放到測試中時,它們似乎也不起作用,但這可能是我的testOut函數有問題。ANN Perceptron OR-Gate訓練無法正常工作
public class Temp {
double[][] data = {{0.d, 0.d}, {0.d, 1.d}, {1.d, 0.d}, {1.d, 1.d}};
double[] outputs = {0.d, 1.d, 1.d, 1.d};
double[][] weights = {
{ThreadLocalRandom.current().nextDouble(-.5, .5),
ThreadLocalRandom.current().nextDouble(-.5, .5)},
{ThreadLocalRandom.current().nextDouble(-.5, .5),
ThreadLocalRandom.current().nextDouble(-.5, .5)},
{ThreadLocalRandom.current().nextDouble(-.5, .5),
ThreadLocalRandom.current().nextDouble(-.5, .5)},
{ThreadLocalRandom.current().nextDouble(-.5, .5),
ThreadLocalRandom.current().nextDouble(-.5, .5)}
};
public double[][] train(int maxEpoch, double threshhold) {
for (int i = 0; i < maxEpoch; i++) {
System.out.println("EPOCH " + i);
double sum = 0.0d;
double actualOutput = 0.0d;
double[] ep = new double[outputs.length];
for (int j = 0; j < data.length; j++) {
for (int k = 0; k < data[j].length; k++) {
sum += data[j][k] * weights[j][k];
}
actualOutput = step(sum - threshhold);
ep[j] = outputs[j] - actualOutput;
for (int k = 0; k < data[j].length; k++) {
weights[j][k] = weights[j][k] + .1 * data[j][k] * ep[j];
}
System.out.println("output " + j + " " + actualOutput + " " + outputs[j] +" - " + ep[j]);
}
}
return weights;
}
public void testOut(double[][] data, double[][] weights, double threshhold){
double sum = 0;
double[] actualOutput = new double[data.length];
for (int j = 0; j < data.length; j++) {
for (int k = 0; k < data[j].length; k++) {
sum += data[j][k] * weights[j][k];
}
actualOutput[j] = step(sum - threshhold);
}
System.out.println(Arrays.toString(actualOutput));
}
public static void main(String[] args) {
Temp t = new Temp();
double[][] weights = t.train(200, 0);
t.testOut(t.data, weights, .5);
}
}
任何幫助表示讚賞。
編輯:step(sum - threshold)是step函數。
public static int step(double x) {
return x >= 0.d ? 1 : 0;
}
你還可以提供steps()方法的定義嗎? –
public static int step(double x){ \t \t return x> = 0.d? 1:0; \t} –
O/P類似於:EPOCH 0 ...........,EPOCH 1 ........,---- EPOCH 199.那麼哪裏出現問題? ?你究竟想要什麼? –