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- Publisher
- Springer Journals
- Copyright
- Copyright © 2017 by Springer Science+Business Media, LLC
- Subject
- Computer Science; Artificial Intelligence (incl. Robotics); Complex Systems; Computational Intelligence
- ISSN
- 1370-4621
- eISSN
- 1573-773X
- DOI
- 10.1007/s11063-017-9696-1
- Publisher site
- See Article on Publisher Site
Abstract
In this paper, a class of neutral type shunting inhibitory cellular neural networks with D operator are considered. Several novel conditions which guarantee the existence and exponential stability of anti-periodic solutions for the considered models are established by using Lyapunov functional method and differential inequality techniques. Moreover, an example and its numerical simulations are given to show the effectiveness of the obtained results.
Journal
Neural Processing Letters – Springer Journals
Published: Aug 30, 2017