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dc.contributor.authorPrasad, Mukeshen_US
dc.contributor.authorLin, Chin-Tengen_US
dc.contributor.authorLi, Dong-Linen_US
dc.contributor.authorHong, Chao-Tienen_US
dc.contributor.authorDing, Wei-Pingen_US
dc.contributor.authorChang, Jyh-Yeongen_US
dc.date.accessioned2017-04-21T06:56:33Z-
dc.date.available2017-04-21T06:56:33Z-
dc.date.issued2017-03en_US
dc.identifier.issn2168-2216en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TSMC.2015.2507139en_US
dc.identifier.urihttp://hdl.handle.net/11536/133148-
dc.description.abstractThis correspondence paper proposes an improved version of the self-constructing neural fuzzy inference network (SONFIN), called soft-boosted SONFIN (SB-SONFIN). The design softly boosts the learning process of the SONFIN in order to decrease the error rate and enhance the learning speed. The SB-SONFIN boosts the learning power of the SONFIN by taking into account the numbers of fuzzy rules and initial weights which are two important parameters of the SONFIN, SB-SONFIN advances the learning process by: 1) initializing the weights with the width of the fuzzy sets rather than just with random values and 2) improving the parameter learning rates with the number of learned fuzzy rules. The effectiveness of the proposed soft boosting scheme is validated on several real world and benchmark datasets. The experimental results show that the SB-SONFIN possesses the capability to outperform other known methods on various datasets.en_US
dc.language.isoen_USen_US
dc.subjectFuzzy neural networken_US
dc.subjectonline learning systemen_US
dc.subjectparameter learningen_US
dc.subjectsoft boosten_US
dc.subjectstructure learningen_US
dc.titleSoft-Boosted Self-Constructing Neural Fuzzy Inference Networken_US
dc.identifier.doi10.1109/TSMC.2015.2507139en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSen_US
dc.citation.volume47en_US
dc.citation.issue3en_US
dc.citation.spage584en_US
dc.citation.epage588en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.contributor.departmentBrain Research Centeren_US
dc.identifier.wosnumberWOS:000396232000016en_US
Appears in Collections:Articles