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Volumn 3512, Issue , 2005, Pages 272-279

Improving clustering technique for functional approximation problem using fuzzy logic: ICFA algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FUZZY SETS; PROBLEM SOLVING;

EID: 25144518160     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_34     Document Type: Conference Paper
Times cited : (14)

References (11)
  • 4
    • 0018491303 scopus 로고
    • Asymptotically optimal block quantization
    • July
    • A. Gersho. Asymptotically Optimal Block Quantization. IEEE Transanctions on Information Theory, 25(4):373-380, July 1979.
    • (1979) IEEE Transanctions on Information Theory , vol.25 , Issue.4 , pp. 373-380
    • Gersho, A.1
  • 7
    • 0001520365 scopus 로고    scopus 로고
    • Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference proccess
    • A. Prieto I. Rojas, M. Anguita and O. Valenzuela. Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference proccess. Int. J. Approximate Reasoning, 19:367-389, 1998.
    • (1998) Int. J. Approximate Reasoning , vol.19 , pp. 367-389
    • Prieto, A.1    Rojas, I.2    Anguita, M.3    Valenzuela, O.4
  • 9
    • 0000106040 scopus 로고
    • Universal approximation using radial basis functions network
    • J. Park and J. W. Sandberg. Universal approximation using radial basis functions network. Neural Computation, 3:246-257, 1991.
    • (1991) Neural Computation , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, J.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.