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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.
AbstractData-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.
KeywordGenetic Programming Data Analysis Symbolic Regression Grammatical Evolution Artificial Intelligence Evolutionary Computation Nonlinear-systems Identification
Subject Area空气动力学
Indexed BySCI ; EI
WOS IDWOS:000308122700008
Funding OrganizationThis work was partially supported by the National Natural Science Foundation of China (Grant No. 90916028).
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorLuo, CT; Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
Recommended Citation
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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