Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-08-06
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Guo, Yingxin& Xue, Mingzhi. 2009. Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays. Discrete Dynamics in Nature and Society،Vol. 2009, no. 2009, pp.1-14.
https://search.emarefa.net/detail/BIM-470382
Modern Language Association (MLA)
Guo, Yingxin& Xue, Mingzhi. Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays. Discrete Dynamics in Nature and Society No. 2009 (2009), pp.1-14.
https://search.emarefa.net/detail/BIM-470382
American Medical Association (AMA)
Guo, Yingxin& Xue, Mingzhi. Periodic Solutions and Exponential Stability of a Class of Neural Networks with Time-Varying Delays. Discrete Dynamics in Nature and Society. 2009. Vol. 2009, no. 2009, pp.1-14.
https://search.emarefa.net/detail/BIM-470382
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470382
