A new curve-fitting method based on the least-squares theory

被引：0
|
作者：
Wang, Baiyu [1 ]
Liu, Wei [2 ]
机构：
[1] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[2] Changsha Univ, Dept Informat & Comp Sci, Changsha 410003, Hunan, Peoples R China
来源：
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE OF MATRICES AND OPERATORS (MAO 2012) | 2012年
关键词：
Curve-fitting; Least-squares; shape function;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A new curve-fitting method based on the least-squares theory is introduced. In the present paper, a new shape function is developed as a linear interpolating function of both MLS (moving least squares approximating) and RBF (radial basis function interpolating) and is regularized by a control parameter a, which takes different values in the domain [0,1]. Based on the proposed shape function, the approximate curve has some advantages, such as high accuracy and high smoothness. The experiment shows that this method obtains better fitting effect.
引用
收藏
页码：115 / 118
页数：4
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