An estimation of the domain of attraction and convergence rate for Hopfield continuous feedback neural networks

Physics Letters, Section A: General, Atomic and Solid State Physics

Volumn 325, Issue 5-6, 2004, Pages 370-374

  Cao, Jinde ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Comparison principle; Domain of attraction; Exponential convergence rate; Hopfield neural network; Matrix measure; Memory patterns

Indexed keywords

ASSOCIATIVE PROCESSING; ASSOCIATIVE STORAGE; FAULT TOLERANCE; MEMORY ARCHITECTURE;

COMPARISON PRINCIPLE; DOMAIN OF ATTRACTION; EXPONENTIAL CONVERGENCE RATE; MATRIX MEASURES; MEMORY PATTERNS;

HOPFIELD NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSAY; ASSOCIATIVE MEMORY; EVALUATION; FEEDBACK SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; SYNTHESIS;

EID: 2442430451     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physleta.2004.04.009     Document Type: Article

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