Parse-matrix evolution for symbolic regression

	Parse-matrix evolution for symbolic regression
	Luo ZT(罗长童); Zhang SL(张绍良); Luo, CT; Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
发表期刊	ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
	2012-09-01
卷号	25 期号:6 页码:1182-1193
ISSN	0952-1976
摘要	Data-driven model is highly desirable for industrial data analysis in case the experimental model structure is unknown or wrong, or the concerned system has changed. Symbolic regression is a useful method to construct the data-driven model (regression equation). Existing algorithms for symbolic regression such as genetic programming and grammatical evolution are difficult to use due to their special target programming language (i.e., LISP) or additional function parsing process. In this paper, a new evolutionary algorithm, parse-matrix evolution (PME), for symbolic regression is proposed. A chromosome in PME is a parse-matrix with integer entries. The mapping process from the chromosome to the regression equation is based on a mapping table. PME can easily be implemented in any programming language and free to control. Furthermore, it does not need any additional function parsing process. Numerical results show that PME can solve the symbolic regression problems effectively.
关键词	Genetic Programming Data Analysis Symbolic Regression Grammatical Evolution Artificial Intelligence Evolutionary Computation Nonlinear-systems Identification
学科领域	空气动力学
URL	查看原文
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000308122700008
项目资助者	This work was partially supported by the National Natural Science Foundation of China (Grant No. 90916028).
课题组名称	LHD激波与爆轰物理
论文分区	一类
引用统计	被引频次：25[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/46613
专题	高温气体动力学国家重点实验室
通讯作者	Luo, CT; Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
推荐引用方式 GB/T 7714	Luo ZT,Zhang SL,Luo, CT,et al. Parse-matrix evolution for symbolic regression[J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2012,25,6,:1182-1193.
APA	罗长童,张绍良,Luo, CT,&Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China..(2012).Parse-matrix evolution for symbolic regression.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,25(6),1182-1193.
MLA	罗长童,et al."Parse-matrix evolution for symbolic regression".ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 25.6(2012):1182-1193.

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