Construction of Response Surface Based on Projection Pursuit Regression and Genetic Algorithm

被引：6
|
作者：
Qin Boying [1 ]
Lin Xiankun [2 ]
机构：
[1] Guangxi Univ Technol, Dept Informat & Comp Sci, Liuzhou 545006, Peoples R China
[2] Guangxi Univ Technol, Dept Automobile Engn, Liuzhou 545006, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012) | 2012年 / 33卷
关键词：
Response Surface; Projection Pursuit Regression; Genetic Algorithm; Orthogonal Experimental Design; RELIABILITY-ANALYSIS;
D O I：
10.1016/j.phpro.2012.05.278
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
Response surface method (RSM) is an important method to replace a complex model by a response surface (RS) based on results calculated at various response points in the design space. In order to use higher order polynomial to construct RS, in this paper, a method has been applied to construct RS using the combination of real-coded accelerating genetic algorithm and projection pursuit regression. According to the statistical values used for evaluating RS, Precision of RS constructed by the proposed method is satisfying. (C) 2012 Published by Elsevier B. V. Selection and/or peer review under responsibility of ICMPBE International Committee.
引用
收藏
页码：1732 / 1740
页数：9
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