Novel global exponential stability criteria for hybrid BAM neural networks with proportional delays

Neurocomputing

Volumn 161, Issue , 2015, Pages 99-106

  Zhou, Liqun ^a  

^a TIANJIN NORMAL UNIVERSITY   (China)

Author keywords

Delay differential inequality; Global exponential stability; Hybrid BAM neural networks; Proportional delays

Indexed keywords

FIXED POINT ARITHMETIC; MATHEMATICAL TRANSFORMATIONS; STABILITY CRITERIA;

BAM NEURAL NETWORK; DELAY DIFFERENTIAL INEQUALITY; EXISTENCE AND UNIQUENESS; GLOBAL EXPONENTIAL STABILITY; PROPORTIONAL DELAYS; TIME VARYING- DELAYS; UNBOUNDED DISTRIBUTED DELAYS; VARIABLE COEFFICIENTS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL SYNCHRONIZATION; DELAY DIFFERENTIAL INEQUALITY; GLOBAL EXPONENTIAL STABILITY; HYBRID BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORK; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; MATHEMATICAL PARAMETERS; MEMBRANE POTENTIAL; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; SIMULATION; THEORY;

EID: 84929049283     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.02.061     Document Type: Article

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