Block building programming for symbolic regression | |
Chen C; Luo ZT(罗长童); Jiang ZL(姜宗林) | |
刊名 | NEUROCOMPUTING |
2018-01-31 | |
卷号 | 275页码:1973-1980 |
关键词 | Symbolic Regression Separable Function Block Building Programming Genetic Programming |
ISSN号 | 0925-2312 |
DOI | 10.1016/j.neucom.2017.10.047 |
文献子类 | Article |
英文摘要 | Symbolic regression that aims to detect underlying data-driven models has become increasingly important for industrial data analysis. For most existing algorithms such as genetic programming (GP), the convergence speed might be too slow for large-scale problems with a large number of variables. This situation may become even worse with increasing problem size. The aforementioned difficulty makes symbolic regression limited in practical applications. Fortunately, in many engineering problems, the independent variables in target models are separable or partially separable. This feature inspires us to develop a new approach, block building programming (BBP). BBP divides the original target function into several blocks, and further into factors. The factors are then modeled by an optimization engine (e.g. GP). Under such circumstances, BBP can make large reductions to the search space. The partition of separability is based on a special method, block and factor detection. Two different optimization engines are applied to test the performance of BBP on a set of symbolic regression problems. Numerical results show that BBP has a good capability of structure and coefficient optimization with high computational efficiency. (C) 2017 Elsevier B.V. All rights reserved. |
分类号 | 二类/q1 |
WOS关键词 | Evolution |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000418370200184 |
资助机构 | National Natural Science Foundation of China(11532014) |
内容类型 | 期刊论文 |
源URL | [http://dspace.imech.ac.cn/handle/311007/72232] |
专题 | 力学研究所_高温气体动力学国家重点实验室 |
推荐引用方式 GB/T 7714 | Chen C,Luo ZT,Jiang ZL. Block building programming for symbolic regression[J]. NEUROCOMPUTING,2018,275:1973-1980. |
APA | Chen C,罗长童,&姜宗林.(2018).Block building programming for symbolic regression.NEUROCOMPUTING,275,1973-1980. |
MLA | Chen C,et al."Block building programming for symbolic regression".NEUROCOMPUTING 275(2018):1973-1980. |
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