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最小二乘曲线拟合的MATLAB实现
引用本文:吕喜明,李明远.最小二乘曲线拟合的MATLAB实现[J].内蒙古民族大学学报(自然科学版),2009,24(2):125-127.
作者姓名:吕喜明  李明远
作者单位:内蒙古财经学院,统计与数学学院,内蒙古,呼和浩特,010051
摘    要:在MATLAB的Notebook环境下,调用MATLAB的最小二乘曲线拟合命令,求得了拟合函数的多项式系数,并结合可视图形,给出了拟合函数最佳阶数的选取方法.此外,对不超过10阶的曲线拟合给出了图形用户接口程式,使得低阶的拟合更加简单易行、直观明了.

关 键 词:曲线拟合  多项式拟合  最小二乘曲线拟合  最佳拟合  图形用户接口

The Realization of Curve Fitting with Matlab
LU Xi-ming,LI Ming-yuan.The Realization of Curve Fitting with Matlab[J].Journal of Inner Mongolia University for the Nationalities(Natural Sciences),2009,24(2):125-127.
Authors:LU Xi-ming  LI Ming-yuan
Institution:(College of Statistics and Mathematics, Inner Mongolia Finance and Economics College, Hohhot 010051,China)
Abstract:Firstly,the polynomial coefficients of fitting function are achieved by calling the least-squares fitting order of MATLAB under the MATLAB Notebook environment. Secondly, the method to select the best order number of fitting function is given combining with visual graphics. In addition, a graphical user interface programs are given to the fitting functions whose polynomial order no more than 10 so that more low-order fitting is simple, intuitive and clear.
Keywords:Curve fitting  Polynomial fitting  Least-squares fitting  The best fitting  The graphical userinterface
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