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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.250
