Periodicity and global exponential stability of generalized Cohen-Grossberg neural networks with discontinuous activations and mixed delays

Neural Networks

Volumn 51, Issue , 2014, Pages 80-95

  Wang, Dongshu ^a,b   Huang, Lihong ^a,c  

^a HUNAN UNIVERSITY   (China)

^b HUAQIAO UNIVERSITY   (China)

^c HUNAN WOMEN S UNIVERSITY   (China)

Author keywords

Cohen Grossberg neural networks; Differential inclusion; Discontinuous neuron activation; Global exponential stability; Periodicity

Indexed keywords

CHEMICAL ACTIVATION; DIFFERENTIAL EQUATIONS; TIME VARYING NETWORKS;

COHEN-GROSSBERG NEURAL NETWORKS; DELAYED NEURAL NETWORKS; DIFFERENTIAL INCLUSIONS; DISCONTINUOUS RIGHT-HAND SIDES; GLOBAL EXPONENTIAL STABILITY; LIPSCHITZ CONTINUOUS; NEURON ACTIVATION FUNCTION; PERIODICITY;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL ACTIVATION; COHEN GROSSBERG NEURAL NETWORK; GLOBAL EXPONENTIAL STABILITY; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NERVE CELL NETWORK; PERIODICITY; PRIORITY JOURNAL; STATISTICAL PARAMETERS;

COHEN-GROSSBERG NEURAL NETWORKS; DIFFERENTIAL INCLUSION; DISCONTINUOUS NEURON ACTIVATION; GLOBAL EXPONENTIAL STABILITY; PERIODICITY;

ALGORITHMS; NEURAL NETWORKS (COMPUTER); PERIODICITY; TIME FACTORS;

EID: 84891818544     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.12.005     Document Type: Article

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