Global exponential stability of interval general BAM neural networks with reaction-diffusion terms and multiple time-varying delays

Neural Networks

Volumn 24, Issue 5, 2011, Pages 457-465

  Zhang, Zhengqiu ^a   Yang, Yan ^a   Huang, Yesheng ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Degree theory; Global exponential stability; Interval general BAM neural networks; Lyapunov functional; Multiple time varying delays; Reaction diffusion terms; The existence and uniqueness of one equilibrium point

Indexed keywords

DEGREE THEORY; GLOBAL EXPONENTIAL STABILITY; INTERVAL GENERAL BAM NEURAL NETWORKS; LYAPUNOV FUNCTIONAL; MULTIPLE TIME-VARYING DELAYS; REACTION DIFFUSION TERMS; THE EXISTENCE AND UNIQUENESS OF ONE EQUILIBRIUM POINT;

DIFFUSION IN LIQUIDS; EXPONENTIAL FUNCTIONS; STABILITY; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

NEURAL NETWORKS;

ARTICLE; ASSOCIATIVE MEMORY; BIDIRECTIONAL ASSOCIATIVE MEMORY; CELL FUNCTION; GLOBAL STABILITY STABILITY; LYAPUNOV FUNCTION; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; PRIORITY JOURNAL; SYNAPTIC TRANSMISSION; THEORETICAL STUDY;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DIFFUSION; HUMANS; MATHEMATICAL CONCEPTS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); REACTION TIME; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 79953678078     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.02.003     Document Type: Article

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