public class LeastSquares { public static void matching(double[] x, double[] y, double[] input, double fully) { double k = getK(x, y); double b = getB(x, y); System.out.println("线性回归系数 k 值:\t" + k + "\n" + "线性回归系数 b 值:\t" + b); double maxy = 0; //用来记录最大偏差 //寻找最大偏差 for (int i = 0; i < input.length; i++) { if (Math.abs(k * input[i] + b - y[i]) > maxy){ maxy = Math.abs(k * input[i] + b - y[i]); } } System.out.println("最大偏差为:" + maxy); //求灵敏度 double s = 0; double sum = 0; for (int i = 1; i < y.length; i++) { sum += y[i] - y[i-1]; } s = sum / (y.length - 1) / 20; System.out.println("灵敏度为:" + Math.abs(s)); //求非线性误差 System.out.println("非线性误差为:" + Math.abs(maxy/fully*100) + "%"); } //返回 x 的系数 k 公式:k = (n sum( xy ) - sum( x ) sum( y )) / (n sum( x^2 )-sum(x) ^ 2) public static double getK(double[] x, double[] y) { int n = x.length; return (double) ((n * pSum(x, y) - sum(x) * sum(y)) / (n * sqSum(x) - Math.pow(sum(x), 2))); } //返回常量系数系数 b 公式:b = sum( y ) / n - k * sum( x ) / n public static double getB(double[] x, double[] y) { int n = x.length; double k = getK(x, y); return sum(y) / n - k * sum(x) / n; } //求和 private static double sum(double[] ds) { double s = 0; for (double d : ds) { s = s + d; } return s; } //求平方和 private static double sqSum(double[] ds) { double s = 0; for (double d : ds) { s = (double) (s + Math.pow(d, 2)); } return s; } //返回对应项相乘后的和 private static double pSum(double[] x, double[] y) { double s = 0; for (int i = 0; i < x.length; i++) { s = s + x[i] * y[i]; } return s; } public static void main(String[] args) { double[] x1 = {52.5,55,60,65,70,75,80,85,90,95,100}; double[] y1 = {0,-0.54,-1.46,-2.32,-3.20,-4.06,-4.90,-5.72,-6.51,-7.31,-8.01}; double[] inputs1 = x1; System.out.println("Pt100 热电阻测温实验拟合直线:"); matching(x1, y1,inputs1,y1[y1.length-1]); } }