A new approach for multimodel identification of complex systems based on both neural and fuzzy clustering algorithms

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 7, 2010, Pages 1064-1071

  Elfelly, Nesrine ^a,c   Dieulot, Jean Yves ^b   Benrejeb, Mohamed ^c   Borne, Pierre ^a  

^a ECOLE CENTRALE DE LILLE   (France)

^b ECOLE CENTRALE DE LILLE   (France)

^c UNIVERSITY OF TUNIS EL MANAR   (Tunisia)

Author keywords

Complex systems; Fuzzy K means; Identification; K means; Multimodel; Rival Penalized Competitive Learning

Indexed keywords

COMPLEX SYSTEMS; FUZZY K-MEANS; IDENTIFICATION; K-MEANS; MULTI-MODEL; RIVAL PENALIZED COMPETITIVE LEARNING;

FUZZY CLUSTERING; FUZZY SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); NEURAL NETWORKS;

CLUSTERING ALGORITHMS;

EID: 77957882576     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.06.004     Document Type: Article

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