Stabilizing effects of impulses in discrete-time delayed neural networks

IEEE Transactions on Neural Networks

Volumn 22, Issue 2, 2011, Pages 323-329

  Li, Chuandong ^a   Wu, Sichao ^a   Feng, Gang Gary ^b   Liao, Xiaofeng ^a  

^a CHONGQING UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Discrete time neural networks; impulse; stabilization; time delay

Indexed keywords

ASYMPTOTICALLY STABLE; DISCRETE-TIME; DISCRETE-TIME NEURAL NETWORKS; EQUILIBRIUM POINT; EXPONENTIAL STABILITY; EXPONENTIALLY STABLE; FREE COMPONENT; GLOBAL EXPONENTIAL STABILITY; IMPULSE; IMPULSE EFFECT; STABILIZING EFFECTS; WHOLE SYSTEMS;

EXPONENTIAL FUNCTIONS; HOPFIELD NEURAL NETWORKS; STABILIZATION; TIME DELAY;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER PROGRAM; CORTICAL SYNCHRONIZATION; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; MATHEMATICAL PHENOMENA; METHODOLOGY; NONLINEAR SYSTEM; PHYSIOLOGY; REACTION TIME; SIGNAL PROCESSING; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATIC DATA PROCESSING; CORTICAL SYNCHRONIZATION; MATHEMATICAL COMPUTING; MATHEMATICAL CONCEPTS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REACTION TIME; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE DESIGN; TIME FACTORS;

EID: 79951669716     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2100084     Document Type: Article

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