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Volumn 9, Issue 4, 2001, Pages 578-594

A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

Author keywords

Ellipsoidal basis function (EBF); Function approximation; Fuzzy rule extraction; On line self organizing learning; Takagi Sugeno Kang (TSK) fuzzy reasoning

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; FUZZY CONTROL; FUZZY SETS; ITERATIVE METHODS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; ONLINE SYSTEMS; PARAMETER ESTIMATION; SELF ORGANIZING MAPS;

EID: 0035415951     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.940970     Document Type: Article
Times cited : (398)

References (27)
  • 5
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximation, and orthogonal least square learning
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 807-814
  • 17
    • 0030283350 scopus 로고    scopus 로고
    • Radial basis function based adaptive fuzzy systems and their applications to system identification and prediction
    • (1996) Fuzzy Sets Syst. , vol.83 , pp. 325-339
    • Cho, K.B.1    Wang, B.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.