Stability analysis of discrete-time stochastic neural networks with time-varying delays

Neurocomputing

Volumn 73, Issue 4-6, 2010, Pages 740-748

  Ou, Yan ^a   Liu, Hongyang ^a   Si, Yulin ^a   Feng, Zhiguang ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Asymptotic stability; Delay partitioning; Discrete time neural networks; Linear matrix inequality; Stochastic neural networks; Time varying delays

Indexed keywords

DELAY PARTITIONING; DISCRETE-TIME NEURAL NETWORKS; STOCHASTIC NEURAL NETWORK; TIME-VARYING DELAY; TIME-VARYING DELAYS;

ASYMPTOTIC ANALYSIS; ASYMPTOTIC STABILITY; BROWNIAN MOVEMENT; DELAY CONTROL SYSTEMS; FUZZY CONTROL; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; STABILITY CRITERIA; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS; UNCERTAIN SYSTEMS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CONTROLLED STUDY; CRITERION VARIABLE; DATA ANALYSIS SOFTWARE; MATHEMATICAL COMPUTING; PARTITION COEFFICIENT; PRIORITY JOURNAL; PROBABILITY; PROBLEM SOLVING; PROCESS DEVELOPMENT; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; STOCHASTIC MODEL; SYSTEM ANALYSIS; TIME SERIES ANALYSIS;

EID: 75749097256     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.10.017     Document Type: Article

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