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Volumn 33, Issue 9, 2002, Pages 715-722

Structure selection of neurofuzzy networks based on support vector regression

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; COMPUTER SIMULATION; FUZZY SETS; LAGRANGE MULTIPLIERS; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; MULTILAYER NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; REGRESSION ANALYSIS;

EID: 0037063250     PISSN: 00207721     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207720210147089     Document Type: Article
Times cited : (8)

References (19)
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  • 10
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    • Harris, C. J., Wu, Z. Q., and Gan, Q., 1999, Neurofuzzy state estimators and their applications. In N. K. Sinha and M. M. Gupta (eds), Soft Computing and Intelligent Systems (New York: Academic Press), pp. 377-402.
    • (1999) Soft Computing and Intelligent Systems , pp. 377-402
    • Harris, C.J.1    Wu, Z.Q.2    Gan, Q.3
  • 11
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    • (Upper Saddle River: Prentice Hall)
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  • 13
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  • 15
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.