Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays

Neural Networks

Volumn 79, Issue , 2016, Pages 117-127

  Liu, Peng ^a,b   Zeng, Zhigang ^a,b   Wang, Jun ^c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Cohen Grossberg neural networks; Multistability; Non monotonic activation functions; Time varying delays

Indexed keywords

ACTIVATION ANALYSIS; CHEMICAL ACTIVATION; NEURAL NETWORKS; TIME DELAY; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

ACTIVATION FUNCTIONS; ATTRACTION BASIN; COHEN-GROSSBERG NEURAL NETWORKS; EQUILIBRIUM POINT; EXPONENTIALLY STABLE; MULTI STABILITIES; POSITIVE INTEGERS; TIME VARYING- DELAYS;

RECURRENT NEURAL NETWORKS;

ACTIVATION CONSTANT; ANALYSIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; CORRELATION COEFFICIENT; EQUILIBRIUM CONSTANT; EXPONENTIAL STABILITY; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; MATHEMATICAL PHENOMENA; MULTISTABILITY ANALYSIS; NON MONOTONIC ACTIVATION FUNCTION; NONLINEAR SYSTEM; PRIORITY JOURNAL; TIME VARYING DELAY; ALGORITHM; COMPUTER SIMULATION; NERVE CELL; TIME FACTOR;

ALGORITHMS; COMPUTER SIMULATION; NEURAL NETWORKS (COMPUTER); NEURONS; TIME FACTORS;

EID: 84964555776     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2016.03.010     Document Type: Article

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