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Volumn 1, Issue 2, 2003, Pages 194-202

Multi-FNN identification based on HCM clustering and evolutionary fuzzy granulation

Author keywords

Design methodology; Evolutionary fuzzy granulation; Genetic algorithms (GAs); HCM clustering; Information granules; Linear fuzzy inference; Multi FNN (Fuzzy Neural Networks)

Indexed keywords

APPROXIMATION THEORY; DATA ACQUISITION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; NUMERICAL METHODS; OPTIMIZATION;

EID: 4544255839     PISSN: 15986446     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (29)

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  • 9
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    • Revised GMDH algorithm estimating degree of the complete polynomial
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    • March
    • S. K. Oh, K. C. Yoon, H. K. Kim, "The design of optimal fuzzy-neural networks structure by means of ga and an aggregate weighted performance index," The Institute of Control, Automation and Systems Engineers (ICASE), vol. 6, no. 3, pp. 273-283, March 2000.
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  • 15
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    • Identification of fuzzy models with the aid of evolutionary data granulation
    • September
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.