Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays

Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays

Employing fixed point theorem, we make a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions is given for checking global exponential stability. These results have important leading significance in the design and applications of globally s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Discrete Dynamics in Nature and Society 2009-01, Vol.2009 (1), p.620-633
Hauptverfasser: Guo, Yingxin, Xue, Mingzhi
Format: Artikel
Sprache:eng
Schlagworte:
Dynamical systems
Neural networks
Studies
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Employing fixed point theorem, we make a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions is given for checking global exponential stability. These results have important leading significance in the design and applications of globally stable neural networks with delays. Our results extend and improve some earlier publications.
ISSN:1026-0226
1607-887X
DOI:10.1155/2009/415786