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.
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页码：115 / 118
页数：4
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