package xx; import javautilArrayList; import javautilArrays; import javautilList; import javautilScanner; public class xx public static void adderr ListInteger numbers = new ArrayList;

package xx; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.Scanner;

public class xx { public static void main(String[] args) { Scanner scanner = new Scanner(System.in); List numbers = new ArrayList<>(); int input;

    System.out.print("请输入数字（输入0结束）：");
    while (true) {
        input = scanner.nextInt();
        if (input == 0) {
            break;
        }
        numbers.add(input);
    }
    
    System.out.println("输入的数字数组为：");
    System.out.println(numbers);
    
    // Call ErrorNormalization method
    ErrorNormalization(numbers.stream().mapToDouble(Integer::doubleValue).toArray());
}

public static void ErrorNormalization(double[] num) {
    double[] errors = num;
    
    // 调用normalizeErrors方法进行误差归一化
    double[] normalizedErrors = normalizeErrors(errors);
    
    System.out.println("原始误差数组: " + Arrays.toString(errors));
    System.out.println("归一化误差数组: " + Arrays.toString(normalizedErrors));
}

public static double[] normalizeErrors(double[] errors) {
    // 找到最大误差和最小误差
    double maxError = Double.NEGATIVE_INFINITY;
    double minError = Double.POSITIVE_INFINITY;
    
    for (double error : errors) {
        if (error > maxError) {
            maxError = error;
        }
        if (error < minError) {
            minError = error;
        }
    }
    
    // 归一化误差数组
    double[] normalizedErrors = new double[errors.length];
    
    if (errors.length > 1) {
        for (int i = 0; i < errors.length; i++) {
            normalizedErrors[i] = (errors[i] - minError) / (maxError - minError);
        }
    } else {
        normalizedErrors = new double[]{1.0};
    }
    
    return normalizedErrors;
}

public static float err(float setSpeed, float actualSpeed) {
    float err = setSpeed - actualSpeed;
    return err;
}