传感与检测技术，Pt100热电阻测温实验报告，江南大学物联网(pt100热电阻传感器的优缺点)

线性回归系数值线性回归系数值用于记录最大偏差，求最大偏差，求灵敏度，求非线性误差，求非线性误差，返回常系数的系数公式，求系数公式的平方，返回与热电阻测温实验相乘的直线。

public class least squares { public static void matching(double[]x，double[] y，double[] input，double full){ 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//求最大偏差for(int I = 0；I maxy = math . ABS(k * input[I]+b -y[I])；}} System.out.println("最大偏差:"+maxy)；//求灵敏度双s = 0；double sum = 0；for(int I = 1；i int n = x.lengthreturn (double) ((n * pSum(x，y)-sum(x)* sum(y))/(n * sqSum(x)-math . pow(sum(x)，2)))；}//返回常系数系数b公式:b = sum(y)/n ^ -k * sum(x)/n公共静态double getb (double [] x，double[]y){ int n = x . length；double k = getK(x，y)；return sum(y)/n ^ -k * sum(x)/n；}//Sum私有静态double Sum(double[]ds){ double s = 0；for(double d:ds){ s = s+d；} return s；}//求平方和私有静态double sqsum(double[]ds){ double s = 0；for(double d:ds){ s =(double)(s+math . pow(d，2))；} return s；}//返回对应项乘以私有静态double psum的和(double [] x，double[]y){ double s = 0；for(int I = 0；i 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[]inputs 1 = x1；System.out.println("Pt100热电阻测温实验拟合直线:")；matching(x1，y1，inputs1，y1[y1 . length -1])；}}