Global exponential stability of multitime scale competitive neural networks with nonsmooth functions

IEEE Transactions on Neural Networks

Volumn 17, Issue 5, 2006, Pages 1152-1164

  Hongtao, Lu ^b   Amari, Shun Ichi ^a,c  

^a IEEE   (Japan)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Competitive neural networks; Global exponential stability; Multitime scale; Nonsmooth analysis

Indexed keywords

COMPETITIVE NEURAL NETWORKS; GLOBAL EXPONENTIAL STABILITY; MULTITIME SCALE; NONSMOOTH ANALYSIS;

COMPUTER SIMULATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; NUMERICAL METHODS; SYSTEM STABILITY;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ANALYSIS; COMPUTER SIMULATION; METHODOLOGY; THEORETICAL MODEL; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; COMPUTING METHODOLOGIES; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; TIME FACTORS;

EID: 33750116428     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.875995     Document Type: Article

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