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Volumn , Issue , 2007, Pages 614-619

Incremental hyperplane-based fuzzy clustering for system modeling

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; CLUSTER ANALYSIS; ELECTRONICS INDUSTRY; FLOW OF SOLIDS; FUZZY SETS; FUZZY SYSTEMS; HEURISTIC METHODS; INDUSTRIAL ELECTRONICS; MEMBERSHIP FUNCTIONS; MERGERS AND ACQUISITIONS; SEMICONDUCTOR DEVICE MODELS;

EID: 49949119619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2007.4460314     Document Type: Conference Paper
Times cited : (12)

References (12)
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  • 2
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  • 3
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    • Setnes, M.1
  • 4
    • 33749382626 scopus 로고    scopus 로고
    • Evolving compact and inter-pretable takagi-sugeno fuzzy models with a new encoding scheme
    • M. S. Kim, C. H. Kim, and J. J. Lee, "Evolving compact and inter-pretable takagi-sugeno fuzzy models with a new encoding scheme," IEEE Trans. Syst., Man, Cybern. B, vol. 36, no. 5, pp. 1006-1023, 2006.
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  • 5
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    • A neuro-fuzzy system modeling with self-constructing rule generation ans hybrid svd-based learning
    • S. J. Lee and C. S. Ouyang, "A neuro-fuzzy system modeling with self-constructing rule generation ans hybrid svd-based learning," IEEE Trans. Fuzzy Syst., vol. 11, no. 3, pp. 341-353, 1998.
    • (1998) IEEE Trans. Fuzzy Syst , vol.11 , Issue.3 , pp. 341-353
    • Lee, S.J.1    Ouyang, C.S.2
  • 6
    • 24644469161 scopus 로고    scopus 로고
    • A tsk-type neurofuzzy network approach to system modeling problem
    • C. S. Ouyang, W. J. Lee, and S. J. Lee, "A tsk-type neurofuzzy network approach to system modeling problem," IEEE Trans. Syst, Man, Cybern. B, vol. 35, no. 4, pp. 751-767, 2005.
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  • 7
    • 0033692531 scopus 로고    scopus 로고
    • Dynamic fuzzy neural networks - a novel approach to function approximation
    • S. Q. Wu and M. J. Er, "Dynamic fuzzy neural networks - a novel approach to function approximation," IEEE Trans. Syst., Man, Cybern. B, vol. 30, no. 2, pp. 358-364, 2000.
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  • 8
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    • Denfis: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction
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    • Kasabov, N.K.1    Song, Q.2
  • 9
    • 0742272554 scopus 로고    scopus 로고
    • An approach to online identification of takagi-sugeno fuzzy models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.