Existence and global exponential stability of periodic solution for delayed neural networks with impulsive and stochastic effects

Neurocomputing

Volumn 73, Issue 4-6, 2010, Pages 749-758

  Li, Xiaodi ^a  

^a XIAMEN UNIVERSITY   (China)

Author keywords

Delayed neural networks; Existence; Global exponential stability; Impulses; L operator; Periodic solution; Stochastic

Indexed keywords

ALGEBRAIC METHOD; DELAY DIFFERENTIAL INEQUALITY; DELAYED NEURAL NETWORKS; GLOBAL EXPONENTIAL STABILITY; PERIODIC SOLUTION; STOCHASTIC ANALYSIS; STOCHASTIC EFFECTS; SUFFICIENT CONDITIONS;

EXPONENTIAL FUNCTIONS; PROBLEM SOLVING; STABILITY; STOCHASTIC SYSTEMS; TIME VARYING NETWORKS;

NEURAL NETWORKS;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; COMPUTER MODEL; CONTROLLED STUDY; FEASIBILITY STUDY; GLOBAL EXPONENTIAL STABILITY; MATHEMATICAL COMPUTING; MATHEMATICS; NETWORK LEARNING; PRIORITY JOURNAL; PROCESS MODEL; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STOCHASTIC MODEL; SYSTEM ANALYSIS;

EID: 75749158065     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.10.016     Document Type: Article

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