Delay-independent exponential stability of recurrent neural networks

Physics Letters, Section A: General, Atomic and Solid State Physics

Volumn 333, Issue 5-6, 2004, Pages 399-407

  Zhao, Hongyong ^a   Wang, Guanglan ^b  

^a XINJIANG NORMAL UNIVERSITY   (China)

^b NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

Equilibrium point; Global exponential stability; Homeomorphism theory; Lyapunov functional; Recurrent neural networks

Indexed keywords

COMPUTATION THEORY; LYAPUNOV FUNCTIONS; STABILITY CRITERIA;

DELAY INDEPENDENT; EQUILIBRIUM POINT; GLOBAL EXPONENTIAL STABILITY; HOMEOMORPHISM THEORY; LYAPUNOV FUNCTIONALS; NEURAL COMPUTING; OPTIMIZATION PROBLEMS; SIGNAL FUNCTION;

RECURRENT NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; STATISTICAL SIGNIFICANCE; THEORETICAL MODEL;

EID: 9644278130     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physleta.2004.10.040     Document Type: Article

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