Identification of a class of hybrid dynamic systems with feed-forward neural networks: About the validity of the global model

Nonlinear Analysis: Hybrid Systems

Volumn 2, Issue 3, 2008, Pages 773-785

  Messai, Nadhir ^a   Riera, Bernard ^a   Zaytoon, Janan ^a  

^a UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

Author keywords

Hybrid systems; Identification; Neural network

Indexed keywords

CURRENT MODE (CM); ELSEVIER (CO); FEEDFORWARD NEURAL NETWORK (FNN); GLOBAL MODELING; HYBRID DYNAMIC SYSTEMS; IN ORDER; PAPER ADDRESSES;

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; DYNAMIC MODELS; DYNAMIC PROGRAMMING; DYNAMICAL SYSTEMS; DYNAMICS; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MECHANICS; METROPOLITAN AREA NETWORKS; NETWORK ARCHITECTURE; NETWORK PROTOCOLS; OPTIMAL CONTROL SYSTEMS; VEGETATION;

NEURAL NETWORKS;

EID: 45249119058     PISSN: 1751570X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nahs.2007.11.008     Document Type: Article

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