A two-step method for nonlinear polynomial model identification based on evolutionary optimization

Yu Cheng, Lan Wang, Takayuki Furuzuki

研究成果: Conference contribution

5 引用 (Scopus)

抄録

A two-step identification method for nonlinear polynomial model using Evolutionary Algorithm (EA) is proposed in this paper, and the method has the ability to select a parsimonious structure from a very large pool of model terms. In a nonlinear polynomial model, the number of candidate monomial terms increases drastically as the order of polynomial model increases, and it is impossible to obtain the accurate model structure directly even with state-of-art algorithms. The proposed method firstly carries out a pre-screening process to select a reasonable number of important monomial terms based on the importance index. In the next step, EA is applied to determine a set of significant terms to be included in the polynomial model. In this way, the whole identification algorithm is implemented very efficiently. Numerical simulations are carried out to demonstrate the effectiveness of the proposed identification method.

元の言語English
ホスト出版物のタイトル2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
ページ613-618
ページ数6
DOI
出版物ステータスPublished - 2009
イベント2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore
継続期間: 2009 12 92009 12 11

Other

Other2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
Coimbatore
期間09/12/909/12/11

Fingerprint

Evolutionary algorithms
Model structures
Screening
Statistical Models
Computer simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

これを引用

Cheng, Y., Wang, L., & Furuzuki, T. (2009). A two-step method for nonlinear polynomial model identification based on evolutionary optimization. : 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings (pp. 613-618). [5393428] https://doi.org/10.1109/NABIC.2009.5393428

A two-step method for nonlinear polynomial model identification based on evolutionary optimization. / Cheng, Yu; Wang, Lan; Furuzuki, Takayuki.

2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings. 2009. p. 613-618 5393428.

研究成果: Conference contribution

Cheng, Y, Wang, L & Furuzuki, T 2009, A two-step method for nonlinear polynomial model identification based on evolutionary optimization. : 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings., 5393428, pp. 613-618, 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009, Coimbatore, 09/12/9. https://doi.org/10.1109/NABIC.2009.5393428
Cheng Y, Wang L, Furuzuki T. A two-step method for nonlinear polynomial model identification based on evolutionary optimization. : 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings. 2009. p. 613-618. 5393428 https://doi.org/10.1109/NABIC.2009.5393428
Cheng, Yu ; Wang, Lan ; Furuzuki, Takayuki. / A two-step method for nonlinear polynomial model identification based on evolutionary optimization. 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings. 2009. pp. 613-618
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