Stability analysis for stochastic BAM neural networks with Markovian jumping parameters

Neurocomputing

Volumn 72, Issue 16-18, 2009, Pages 3901-3906

  Wang, Guanjun ^a   Cao, Jinde ^a   Xu, Ming ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b JINAN UNIVERSITY   (China)

Author keywords

Global exponential stability in the mean square; It 's formula; Lyapunov functional; Markovian jumping parameter; Stochastic BAM neural networks; Time delays

Indexed keywords

BAM NEURAL NETWORK; BI-DIRECTIONAL ASSOCIATIVE MEMORIES; GLOBAL EXPONENTIAL STABILITY; GLOBAL EXPONENTIAL STABILITY IN THE MEAN SQUARE; INEQUALITY TECHNIQUES; JUMPING PARAMETERS; LYAPUNOV FUNCTIONAL; LYAPUNOV STABILITY THEORY; MARKOVIAN JUMPING PARAMETER; MARKOVIAN JUMPING PARAMETERS; STABILITY ANALYSIS; STOCHASTIC ANALYSIS; STOCHASTIC BAM NEURAL NETWORKS; SUFFICIENT CONDITIONS; TIME DISCRETE; TIME INVARIANTS;

ASSOCIATIVE PROCESSING; CONTROL THEORY; MARKOV PROCESSES; STABILITY; TIME DELAY; TIME VARYING NETWORKS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIDIRECTIONAL ASSOCIATIVE MEMORY; COMPUTER MEMORY; CONTROLLED STUDY; HIDDEN MARKOV MODEL; MACHINE LEARNING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; STOCHASTIC MODEL; TIME;

EID: 69249219360     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.05.001     Document Type: Article

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