Variable Selection by Genetic Algorithms

Chem. J. Chinese Universities ›› 1999, Vol. 20 ›› Issue (9): 1371.

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Variable Selection by Genetic Algorithms

ZHANG Yuan, ZHU Er-Yi, ZHUANG Zhi-Xia, WANG Xiao-Ru

Department of Chemistry, the Key Laboratory of Analytical Science for Material and Life Chemistry of MOE, Xiamen University, Xiamen 361005, China

Received:1998-11-12 Online:1999-09-24 Published:1999-09-24

Abstract

Abstract: The model with a higher predictive ability can be obtained or the lower PRESS statistic values of the model can be achieved by use of coinbining the genetic algorithms with Gram-Schmidt orthogonalization, PLS method.The comparison is made among forward selection method in the stepwise regression and orthogonalization recurrence selection method as well as genetic algorithms in dealing with the examples of QSAR (quantitative structure activity relationship) and the problem of relationship between the trace elements in human hair and sex.

Key words: Genetic algorithms, Ordered Gram-Schmidt orthogonalization, PLS regression, Orthogonalization recurrence selection, Variable selection

CLC Number:

657.31

TrendMD:

ZHANG Yuan, ZHU Er-Yi, ZHUANG Zhi-Xia, WANG Xiao-Ru. Variable Selection by Genetic Algorithms[J]. Chem. J. Chinese Universities, 1999, 20(9): 1371.

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Variable Selection by Genetic Algorithms

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