Stability of Delayed Hopfield Neural Networks with Variable-Time Impulses
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-01
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
In this paper the globally exponential stability criteria of delayed Hopfield neural networks with variable-time impulses are established.
The proposed criteria can also be applied in Hopfield neural networks with fixed-time impulses.
A numerical example is presented to illustrate the effectiveness of our theoretical results.
American Psychological Association (APA)
Pei, Yangjun& Liu, Chao& Han, Qi. 2014. Stability of Delayed Hopfield Neural Networks with Variable-Time Impulses. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1044031
Modern Language Association (MLA)
Pei, Yangjun…[et al.]. Stability of Delayed Hopfield Neural Networks with Variable-Time Impulses. Mathematical Problems in Engineering No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1044031
American Medical Association (AMA)
Pei, Yangjun& Liu, Chao& Han, Qi. Stability of Delayed Hopfield Neural Networks with Variable-Time Impulses. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1044031
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044031
