Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems
| dc.citation.epage | 2432 | en_US |
| dc.citation.issue | 10-12 | en_US |
| dc.citation.spage | 2418 | en_US |
| dc.citation.volume | 72 | en_US |
| dc.citation.woscount | 3 | |
| dc.contributor.author | Hsu, Yung-Chi | en_US |
| dc.contributor.author | Lin, Sheng-Fuu | en_US |
| dc.contributor.department | 電控工程研究所 | zh_TW |
| dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:09:25Z | |
| dc.date.available | 2014-12-08T15:09:25Z | |
| dc.date.issued | 2009-06-01 | en_US |
| dc.description.abstract | This paper proposes a recurrent wavelet-based neuro-fuzzy system (RWNFS) with a reinforcement group cooperation-based symbiotic evolution (R-GCSE) for solving various control problems. The R-GCSE is different from the traditional symbiotic evolution. In the R-GCSE method, a population is divided to several groups. Each group formed by a set of chromosomes represents a fuzzy rule and cooperates with other groups to generate better chromosomes by using the proposed elite-based compensation crossover strategy (ECCS). In this paper, the proposed R-GCSE is used to evaluate numerical control problems. The performance of the R-GCSE in the simulations is excellent compared with other existing models. (c) 2009 Elsevier B.V. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.neucom.2008.12.027 | en_US |
| dc.identifier.issn | 0925-2312 | en_US |
| dc.identifier.journal | NEUROCOMPUTING | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.neucom.2008.12.027 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/7198 | |
| dc.identifier.wosnumber | WOS:000266702300039 | |
| dc.language.iso | en_US | en_US |
| dc.subject | Neuro-fuzzy system | en_US |
| dc.subject | Symbiotic evolution | en_US |
| dc.subject | Control | en_US |
| dc.subject | Reinforcement learning | en_US |
| dc.subject | Recurrent network | en_US |
| dc.title | Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems | en_US |
| dc.type | Article | en_US |