Output convergence analysis for a class of delayed recurrent neural networks with time-varying inputs

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 36, Issue 1, 2006, Pages 87-95

  Yi, Zhang ^a   Lv, Jian Cheng ^a   Zhang, Lei ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Delays; Output convergence; Recurrent neural networks; Time varying inputs

Indexed keywords

DIFFERENTIAL EQUATIONS; DYNAMICS; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTIMIZATION; VECTORS;

DYNAMIC STRUCTURE; OUTPUT CONVERGENCE ANALYSIS; TIME-VARYING INPUTS;

RECURRENT NEURAL NETWORKS;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; HUMAN; NERVE CELL NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY; TIME;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TIME FACTORS;

EID: 31744452115     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2005.854500     Document Type: Article

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