Identification of quasi-ARX neurofuzzy model by using SVR-based approach with input selection

Yu Cheng, Lan Wang, Jing Zeng, Jinglu Hu

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

Quasi-ARX neurofuzzy (Q-ARX-NF) models have shown great approximation ability and usefulness in nonlinear system identification and control. However, the incorporated neurofuzzy networks suffer from the curse-of-dimensionality problem, which may result in high computational complexity and over-fitting. In this paper, support vector regressor (SVR) based identification approach is used to reduce computational complexity with the help of transforming the original problem into Lagrange space, which is only sensitive to the number of data samples. Furthermore, to improve the generalization capability, a parsimonious model structure is obtained by eliminating insignificant input variables for the incorporated neurofuzzy network, which is implemented by genetic algorithm (GA) based input selection method with a novel fitness evaluation function. Two numerical simulations are tested to show the effectiveness of the proposed method.

元の言語English
ホスト出版物のタイトル2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest
ページ1585-1590
ページ数6
DOI
出版物ステータスPublished - 2011 12 23
イベント2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Anchorage, AK, United States
継続期間: 2011 10 92011 10 12

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(印刷物)1062-922X

Other

Other2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011
United States
Anchorage, AK
期間11/10/911/10/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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  • これを引用

    Cheng, Y., Wang, L., Zeng, J., & Hu, J. (2011). Identification of quasi-ARX neurofuzzy model by using SVR-based approach with input selection. : 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest (pp. 1585-1590). [6083897] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2011.6083897