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Volumn 35, Issue 3, 2002, Pages 659-675

Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data

Author keywords

Adaptive network based fuzzy inference systems; Fuzzy clustering; Fuzzy rule extraction; Neuro fuzzy models; Radial basis function networks

Indexed keywords

FEATURE EXTRACTION; FUZZY SETS; INFERENCE ENGINES; PROBLEM SOLVING;

EID: 0035294755     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(01)00033-4     Document Type: Article
Times cited : (41)

References (41)
  • 21
    • 38249001371 scopus 로고
    • Convergence properties of the generalised fuzzy-C-means clustering algorithms
    • (1993) Comput. Math. Appl , vol.25 , Issue.12 , pp. 3-11
    • Yang, M.S.1
  • 32
    • 0019226255 scopus 로고
    • On the Dominance of non-parametric Bayes rule discriminant algorithms in high dimensions
    • (1988) Pattern Recognition , vol.12 , pp. 355-368
    • Ness, J.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.