DocumentCode :
835838
Title :
A new result on the global convergence of Hopfield neural networks
Author :
Liu, Xiwu ; Chen, Tianping
Author_Institution :
Inst. of Math., Fudan Univ., Shanghai, China
Volume :
49
Issue :
10
fYear :
2002
fDate :
10/1/2002 12:00:00 AM
Firstpage :
1514
Lastpage :
1516
Abstract :
In this work, we discuss Hopfield neural networks, investigating their global stability. Some sufficient conditions for a class of Hopfield neural networks to be globally stable and globally exponentially stable are given.
Keywords :
Hopfield neural nets; convergence; stability; Hopfield neural networks; global stability; globally exponentially stable networks; sufficient conditions; Chaos; Convergence; Differential equations; Hopfield neural networks; Laboratories; Mathematics; Neural networks; Recurrent neural networks; Stability; Sufficient conditions;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7122
Type :
jour
DOI :
10.1109/TCSI.2002.803358
Filename :
1039506
Link To Document :
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