Global attractivity and global exponential stability for delayed hopfield neural network models

Authors
Pu, ZL Xu, DY
Citation
Zl. Pu et Dy. Xu, Global attractivity and global exponential stability for delayed hopfield neural network models, APP MATH ME, 22(6), 2001, pp. 711-716
Citations number
10
Categorie Soggetti
Mechanical Engineering
Journal title
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION
ISSN journal
02534827 → ACNP
Volume
22
Issue
6
Year of publication
2001
Pages
711 - 716
Database
ISI
SICI code
0253-4827(200106)22:6<711:GAAGES>2.0.ZU;2-L
Abstract
Some global properties such as global attractivity and global exponential s tability for delayed Hopfield neural networks model, under the weaker assum ptions on nonlinear activation functions, are concerned. By constructing su itable Liapunov function, some simpler criteria for global attractivity and global exponential stability for Hopfield continuous neural network,; with time delays are presented.