| 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.
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| Source Publication | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
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| 2012-09-01 | |
| Volume | 25Issue:6Pages:1182-1193 |
| ISSN | 0952-1976 |
| Abstract | 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. |
| Keyword | Genetic Programming Data Analysis Symbolic Regression Grammatical Evolution Artificial Intelligence Evolutionary Computation Nonlinear-systems Identification |
| Subject Area | 空气动力学 |
| URL | 查看原文 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:000308122700008 |
| Funding Organization | This work was partially supported by the National Natural Science Foundation of China (Grant No. 90916028). |
| Department | LHD激波与爆轰物理 |
| Classification | 一类 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/46613 |
| Collection | 高温气体动力学国家重点实验室 |
| Corresponding Author | Luo, 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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| SCI-J2012-155.pdf（616KB） | 开放获取 | -- | View Application Full Text | |||
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