Please use this identifier to cite or link to this item:
|Title:||Stationary oscillation for high-order Hopfield neural networks with time delays and impulses|
High-order Hopfield neural networks
|Citation:||Zhang, Y., Wang, Q.-G. (2009-09-01). Stationary oscillation for high-order Hopfield neural networks with time delays and impulses. Journal of Computational and Applied Mathematics 231 (1) : 473-477. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cam.2009.02.079|
|Abstract:||We investigate stationary oscillation for high-order Hopfield neural networks with time delays and impulses. In a recent paper [J. Zhang, Z. J. Gui, Existence and stability of periodic solutions of high-order Hopfield neural networks with impulses and delays, Journal of Computational and Applied Mathematics 224 (2008) 602-613], the authors claim that they obtain a criterion of existence, uniqueness, and global exponential stability of periodic solution (i.e. stationary oscillation) for high-order Hopfield neural networks with time delays and impulses. In this paper, we point out that the main result of the recent paper is unture, and present a new sufficient condition of stationary oscillation for the neural networks. A numerical example is given to illustrate the effectiveness of the obtained result. © 2009 Elsevier B.V. All rights reserved.|
|Source Title:||Journal of Computational and Applied Mathematics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 16, 2018
WEB OF SCIENCETM
checked on Jul 31, 2018
checked on Jul 6, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.