Some sufficient conditions for global exponential stability of delayed Hopfield neural networks

Neural Networks

Volumn 17, Issue 4, 2004, Pages 537-544

  Lu, Hongtao ^a   Chung, Fu Lai ^b   He, Zhenya ^c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c SOUTHEAST UNIVERSITY   (China)

Author keywords

Delayed Hopfield neural networks; Global exponential stability; p Norms

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ESTIMATION; LYAPUNOV METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EXPONENTIAL STABILITY; HOPFIELD NEURAL NETWORKS;

NEUROLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; MATHEMATICS; PRIORITY JOURNAL;

ALGORITHMS; BIOPHYSICS; HUMANS; NERVE NET; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TIME FACTORS;

EID: 1942519336     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2004.01.004     Document Type: Article

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