DocumentCode
2871007
Title
Stability analysis of Hopfield neural networks
Author
Jinde, Cao
Author_Institution
Coll. of Adult Educ., Yunnan Univ., Kunming, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1291
Abstract
In this article, by means of the Lyapunov method and some analysis techniques, sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks. This criteria can be used to design globally stable networks and thus has important significance in both theory and applications
Keywords
Hopfield neural nets; asymptotic stability; Hopfield neural networks; Lyapunov method; global exponential stability; globally stable networks; stability analysis; sufficient criteria; Associative memory; Computer networks; Convergence; Educational institutions; Electronic mail; Hopfield neural networks; Lyapunov method; Neural networks; Neurons; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770855
Filename
770855
Link To Document