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

页码：1732 / 1740

页数：9

共 50 条

[41] A Projection Pursuit Dynamic Cluster Model Based on a Memetic Algorithm
Zhang, Hongli
Wang, Cong
Fan, Wenhui
TSINGHUA SCIENCE AND TECHNOLOGY, 2015, 20 (06) : 661 - 671
[42] ACO-Based Projection Pursuit: A Novel Clustering Algorithm
Li, Yancang
Zhao, Lina
Zhou, Shujing
E-BUSINESS TECHNOLOGY AND STRATEGY, 2010, 113 : 105 - 113
[43] REGRESSION MODELING IN BACKPROPAGATION AND PROJECTION PURSUIT LEARNING
HWANG, JN
LAY, SR
MAECHLER, M
MARTIN, RD
SCHIMERT, J
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (03): : 342 - 353
[44] Application of Coupling Model of projection pursuit Partial Least-Square Regression based on real coded accelerating genetic algorithm in Land Use Change forecasting
Wang, Haitao
Xu, Zhenwen
Wang, Bin
Li, Heng
RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7, 2012, 347-353 : 1774 - +
[45] A hierarchical projection pursuit clustering algorithm
Miasnikov, AD
Rome, JE
Haralick, RM
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, 2004, : 268 - 271
[46] ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm
Buza, Krisztian
2020 IEEE 14TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2020), 2020, : 35 - 40
[47] Improved Hybrid Response Surface Method Based on Double Weighted Regression and Vector Projection
Xia, Yu
Wang, Yeming
MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
[48] Projection Pursuit Regression Based on Hermite Polynomial for Atmospheric Corrosion Data Application
Nie, Weidong
Wang, Xiaoming
Li, Zhaona
Li, Xingeng
CHEMICAL, MATERIAL AND METALLURGICAL ENGINEERING III, PTS 1-3, 2014, 881-883 : 1747 - +
[49] Prediction on Turbine Supercharger Speed of Diesel Engines Based on Projection Pursuit Regression
Dong, Yucai
Zhang, Ling
Yi, Lianghai
Lin, Min
Fan, Gehua
2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4, 2012, : 881 - 884
[50] On Exact Computation of Some Statistics Based on Projection Pursuit in a General Regression Context
Siman, Miroslav
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2011, 40 (06) : 948 - 956

← 1 2 3 4 5 →