Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli

Neural Networks

Volumn 19, Issue 10, 2006, Pages 1528-1537

  Zeng, Zhigang ^a,b   Wang, Jun ^b  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Exponential stability; Recurrent neural networks; Strong external stimuli; Time varying

Indexed keywords

ACTIVATION ANALYSIS; CELLULAR NEURAL NETWORKS; COMPUTER SIMULATION; SYSTEM STABILITY; TIME VARYING NETWORKS;

ABSOLUTE VALUES; EXPONENTIAL STABILITY; HOPFIELD NEURAL NETWORKS; STRONG EXTERNAL STIMULI; TIME VARYING DELAYS;

RECURRENT NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PRIORITY JOURNAL; SIMULATION; THEORETICAL MODEL;

ANIMALS; COMPUTER SIMULATION; MODELS, THEORETICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; REACTION TIME; TIME FACTORS;

EID: 33751212466     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2006.08.009     Document Type: Article

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