Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays
Author
Source
International Journal of Mathematics and Mathematical Sciences
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-05-15
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
By using the coincidence degree theorem and differential inequality techniques, sufficient conditions are obtained for the existence and global exponential stability of periodic solutions for general neural networks with time-varying (including bounded and unbounded) delays.
Some known results are improved and some new results are obtained.
An example is employed to illustrate our feasible results.
American Psychological Association (APA)
Yang, Xinsong. 2008. Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays. International Journal of Mathematics and Mathematical Sciences،Vol. 2008, no. 2008, pp.1-14.
https://search.emarefa.net/detail/BIM-502737
Modern Language Association (MLA)
Yang, Xinsong. Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays. International Journal of Mathematics and Mathematical Sciences No. 2008 (2008), pp.1-14.
https://search.emarefa.net/detail/BIM-502737
American Medical Association (AMA)
Yang, Xinsong. Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays. International Journal of Mathematics and Mathematical Sciences. 2008. Vol. 2008, no. 2008, pp.1-14.
https://search.emarefa.net/detail/BIM-502737
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502737
