Analysis on delay-dependent stability for neural networks with time-varying delays

Neurocomputing

Volumn 103, Issue , 2013, Pages 114-120

  Kwon, O M ^a   Park, Ju H ^b   Lee, S M ^c   Cha, E J ^a  

^a Chungbuk National University   (South Korea)

^b Yeungnam University   (South Korea)

^c Daegu University   (South Korea)

Author keywords

Lyapunov method; Neural networks; Stability; Time varying delays

Indexed keywords

ACTIVATION FUNCTIONS; DELAY DEPENDENT STABILITY CRITERION; DELAY-DEPENDENT STABILITY; LINEAR MATRIX INEQUALITY (LMIS); LYAPUNOV-KRASOVSKII FUNCTIONALS; NUMERICAL EXAMPLE; TIME-VARYING DELAY;

CONVERGENCE OF NUMERICAL METHODS; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; LYAPUNOV METHODS; STABILITY CRITERIA; TIME VARYING CONTROL SYSTEMS;

NEURAL NETWORKS;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL ACTIVATION; DELAY DEPENDENT STABILITY ANALYSIS; INFORMATION PROCESSING; LYAPUNOV KRASOVSKII FUNCTIONAL; NERVE CELL; PRIORITY JOURNAL; QUANTITATIVE STUDY; STATISTICAL ANALYSIS;

EID: 84870389532     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.09.012     Document Type: Article

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