Exponential stability of stochastic memristor-based recurrent neural networks with time-varying delays

Neurocomputing

Volumn 138, Issue , 2014, Pages 92-98

  Li, Jun ^a   Hu, Manfeng ^a   Guo, Liuxiao ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

Exponential stability; Memristor; Recurrent neural networks; Stochastic model; Time varying delays

Indexed keywords

ASYMPTOTIC STABILITY; MEMRISTORS; STABILITY CRITERIA; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TIME DELAY; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS; VLSI CIRCUITS;

MEMRISTOR; TIME VARYING- DELAYS; VERY-LARGE-SCALE INTEGRATION CIRCUITS;

RECURRENT NEURAL NETWORKS;

ARTICLE; EXPONENTIAL STABILITY; MACHINE LEARNING; MATHEMATICAL PHENOMENA; MEMRISTOR; PRIORITY JOURNAL; PROGRAM EFFECTIVENESS; QUANTITATIVE STUDY; RECURRENT NEURAL NETWORK; STATISTICAL PARAMETERS; STATISTICS; STOCHASTIC MODEL; SYSTEM ANALYSIS; TIME VARYING DELAY;

EID: 84899951058     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.02.042     Document Type: Article

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