首页 | 本学科首页   官方微博 | 高级检索  
     检索      

带惩罚项的自适应非参数回归方法
引用本文:陈淑铭,吴国丽.带惩罚项的自适应非参数回归方法[J].烟台大学学报(自然科学与工程版),2004,17(3):176-182.
作者姓名:陈淑铭  吴国丽
作者单位:1. 烟台大学,数学与信息科学系,山东,烟台,264005
2. 石油大学,数学与计算科学学院,山东,东营,257061
基金项目:山东省自然科学基金资助项目(Q99A09).
摘    要:针对曲线拟合问题,提出了用带惩罚项的自适应非参数回归方法来确定一组数据的拟合函数,并主要讨论了此方法中正则化参数的确定问题,其中包括凭主观选择法和交叉验证法以及通过非线性函数方程来确定下则化参数.最后,采用Matlab编程对一些实际例子进行了试算,其中应用了不同的方法,并且对一个实际问题采用不同方法进行了处理,并做出了比较.通过比较可看出,用带惩罚项的自适应非参数回归方法来确定一组数据的拟合函数的效果良好.

关 键 词:曲线拟合  自适应  带惩罚项  非参数回归
文章编号:1004-8820(2004)03-0176-07

Method of Non-parametric Regression with Penalty Term to Determine Adaptively the Fitting Function
CHEN Shu-ming,WU Guo-li.Method of Non-parametric Regression with Penalty Term to Determine Adaptively the Fitting Function[J].Journal of Yantai University(Natural Science and Engineering edirion),2004,17(3):176-182.
Authors:CHEN Shu-ming  WU Guo-li
Institution:CHEN Shu-ming~1,WU Guo-li~2
Abstract:Aiming at curve fitting question, a method of non-parametric regression with penalty term to determine adaptively the fitting function of a group of data is presented, emphasing on the problem of determining the regular parameter of the method, including subjective back-and-forth method and cross validating method. With these methods the regular parameter are determined certainly by means of nonlinear function equations. Fanally, some examples are computed with different methods by Matlab programming. With these actual examples, the results are compared through various methods. This shows these methods are effective.
Keywords:curve fitting  self-adapting  penalty term  non-parametric regression
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号