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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chin-Teng Lin Ming-Feng Han Yang-Yin Lin Shih-Hui Liao Jyh-Yeong Chang |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical and Control Engineering, National Chiao Tung University, Taiwan (Chin-Teng Lin; Ming-Feng Han; Yang-Yin Lin; Shih-Hui Liao; Jyh-Yeong Chang) |
| Abstract | This paper proposes a differential evolution with local information for TSK-type neuro-fuzzy system optimization. The differential evolution with local information consider neighborhood between each individual to keep the diversity of population. An adaptive parameter tuning based on 1/5th rule is used to trade off between local search and global search. For structure learning algorithm, the on-line clustering algorithm is used for rule generation. The structure learning algorithm generates a new rule which compares the firing strength. Initially, there is no rule in neuro-fuzzy system model. The rules are automatically generated by fuzzy measure. For parameter learning, the parameters are optimized by differential evolution algorithm. Finally, the proposed neuro-fuzzy system with novel differential evolution model is applied in chaotic sequence prediction problem. Results of this paper demonstrate the effectiveness of the proposed model. |
| Starting Page | 1003 |
| Ending Page | 1006 |
| File Size | 175840 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007522 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization Clustering algorithms Heuristic algorithms Algorithm design and analysis Genetic algorithms Fuzzy systems Training Differential Evolution Optimization Evolution Algorithm Neuro-Fuzzy System Fuzzy System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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