An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications
In this paper, an interactively recurrent functional neural fuzzy network (IRFNFN) with fuzzy differential evolution (FDE) learning method was proposed for solving the control and the prediction problems. The traditional differential evolution (DE) method easily gets trapped in a local optimum durin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universiti Kebangsaan Malaysia
2015
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| Online Access: | http://journalarticle.ukm.my/9494/ http://journalarticle.ukm.my/9494/1/10_Cheng-Jian_Lin.pdf |
| _version_ | 1848812107229822976 |
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| author | Cheng, Jian Lin Chih, Feng Wu Hsueh, Yi Lin Cheng, Yi Yu |
| author_facet | Cheng, Jian Lin Chih, Feng Wu Hsueh, Yi Lin Cheng, Yi Yu |
| author_sort | Cheng, Jian Lin |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | In this paper, an interactively recurrent functional neural fuzzy network (IRFNFN) with fuzzy differential evolution (FDE) learning method was proposed for solving the control and the prediction problems. The traditional differential evolution (DE) method easily gets trapped in a local optimum during the learning process, but the proposed fuzzy differential evolution algorithm can overcome this shortcoming. Through the information sharing of nodes in the interactive layer, the proposed IRFNFN can effectively reduce the number of required rule nodes and improve the overall performance of the network. Finally, the IRFNFN model and associated FDE learning algorithm were applied to the control system of the water bath temperature and the forecast of the sunspot number. The experimental results demonstrate the effectiveness of the proposed method. |
| first_indexed | 2025-11-14T23:57:02Z |
| format | Article |
| id | oai:generic.eprints.org:9494 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:57:02Z |
| publishDate | 2015 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:94942016-12-14T06:50:06Z http://journalarticle.ukm.my/9494/ An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications Cheng, Jian Lin Chih, Feng Wu Hsueh, Yi Lin Cheng, Yi Yu In this paper, an interactively recurrent functional neural fuzzy network (IRFNFN) with fuzzy differential evolution (FDE) learning method was proposed for solving the control and the prediction problems. The traditional differential evolution (DE) method easily gets trapped in a local optimum during the learning process, but the proposed fuzzy differential evolution algorithm can overcome this shortcoming. Through the information sharing of nodes in the interactive layer, the proposed IRFNFN can effectively reduce the number of required rule nodes and improve the overall performance of the network. Finally, the IRFNFN model and associated FDE learning algorithm were applied to the control system of the water bath temperature and the forecast of the sunspot number. The experimental results demonstrate the effectiveness of the proposed method. Universiti Kebangsaan Malaysia 2015-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/9494/1/10_Cheng-Jian_Lin.pdf Cheng, Jian Lin and Chih, Feng Wu and Hsueh, Yi Lin and Cheng, Yi Yu (2015) An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications. Sains Malaysiana, 44 (12). pp. 1721-1728. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid44bil12_2015/KandunganJilid44Bil12_2015.html |
| spellingShingle | Cheng, Jian Lin Chih, Feng Wu Hsueh, Yi Lin Cheng, Yi Yu An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications |
| title | An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications |
| title_full | An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications |
| title_fullStr | An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications |
| title_full_unstemmed | An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications |
| title_short | An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications |
| title_sort | interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications |
| url | http://journalarticle.ukm.my/9494/ http://journalarticle.ukm.my/9494/ http://journalarticle.ukm.my/9494/1/10_Cheng-Jian_Lin.pdf |