Research on the Application of Improved Least Square Method in Linear Fitting

被引：4

作者：

Kong, Mengqiu ^{[1
]}

Li, Dongsheng ^{[1
]}

Zhang, Daofang ^{[1
]}

机构：

[1] Guizhou Minzu Univ, Guiyang 550025, Guizhou, Peoples R China

来源：

2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2019年 / 252卷

关键词：

D O I：

10.1088/1755-1315/252/5/052158

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The least square method is to find the best function matching by minimizing the sum of the total square error between the measured points and the fitting straight lines, but when the data are quite different, this method ignores the principle that the relative error between all the measured points and the fitting straight lines should not exceed a certain percentage as far as possible.

引用

页数：5