Global stability analysis of competitive neural networks with mixed time-varying delays and discontinuous neuron activations

Neurocomputing

Volumn 152, Issue , 2015, Pages 85-96

  Wang, Yanqun ^a,b   Huang, Lihong ^a,c  

^a HUNAN UNIVERSITY   (China)

^b HENGYANG NORMAL UNIVERSITY   (China)

^c HUNAN WOMEN S UNIVERSITY   (China)

Author keywords

Competitive neural networks; Convergence in finite time; Discontinuous activation; Global exponential stability; Mixed time varying delays

Indexed keywords

ACTIVATION ANALYSIS; ASYMPTOTIC STABILITY; CHEMICAL ACTIVATION; LINEAR MATRIX INEQUALITIES; LYAPUNOV METHODS; SET THEORY; TIME DELAY; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS; TOPOLOGY;

COMPETITIVE NEURAL NETWORK; CONVERGENCE IN FINITE TIME; EXPONENTIAL ASYMPTOTIC STABILITIES; GLOBAL EXPONENTIAL STABILITY; GLOBAL STABILITY ANALYSIS; LERAY-SCHAUDER ALTERNATIVE; MIXED TIME-VARYING DELAYS; TOPOLOGICAL DEGREE THEORY;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; COMPETITIVE NEURAL NETWORK; CONCEPTUAL FRAMEWORK; DISCONTINUOUS NEURON ACTIVATION; GLOBAL STABILITY ANALYSIS; LERAY SCHAUDER ALTERNATIVE THEOREM IN MULTIVALUED ANALYSIS; LINEAR MATRIX INEQUALITY; LYAPUNOV METHOD; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MIXED TIME VARYING DELAY; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL CONCEPTS; TIME SERIES ANALYSIS; TOPOLOGICAL DEGREE THEORY OF SET VALUED MAP; VARIANCE;

EID: 84921063465     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.11.016     Document Type: Article

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