DocumentCode
2941990
Title
Existence and Stability of Periodic Solution for Impulsive Hopfield Neural Networks
Author
Li, Yanling ; Liu, Anping ; Xiao, Li
Author_Institution
Coll. of Comput. Sci., Civil Aviation Flight Univ. of China, Guanghan, China
Volume
2
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
417
Lastpage
420
Abstract
As an useful tool to study practical problems of biology, engineering and image processing, the cellular neural networks (CNNs) has caused more and more attention. Some interesting results about the existence of periodic solution for cellular neural networks have been obtained. In this paper, by means of iterative analysis, the existence of periodic solution and the uniform stability of the equilibrium point of Hopfield neural networks with impulsive effects are considered.
Keywords
Hopfield neural nets; cellular neural nets; iterative methods; stability; cellular neural network; impulsive Hopfield neural network; iterative analysis; periodic solution; stability; Computational intelligence; Hopfield neural networks; Stability; Hopfield neural networks; existence; impulsive effects; stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.250
Filename
5371050
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