Global Stability of Almost Periodic Solution of a Class of Neutral-Type BAM Neural Networks
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-25
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
A class of BAM neural networks with variable coefficients and neutral delays are investigated.
By employing fixed-point theorem, the exponential dichotomy, and differential inequality techniques, we obtain some sufficient conditions to insure the existence and globally exponential stability of almost periodic solution.
This is the first time to investigate the almost periodic solution of the BAM neutral neural network and the results of this paper are new, and they extend previously known results.
American Psychological Association (APA)
Tetie, Pan& Shi, Bao& Yuan, Jian. 2012. Global Stability of Almost Periodic Solution of a Class of Neutral-Type BAM Neural Networks. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-475114
Modern Language Association (MLA)
Tetie, Pan…[et al.]. Global Stability of Almost Periodic Solution of a Class of Neutral-Type BAM Neural Networks. Abstract and Applied Analysis No. 2012 (2012), pp.1-18.
https://search.emarefa.net/detail/BIM-475114
American Medical Association (AMA)
Tetie, Pan& Shi, Bao& Yuan, Jian. Global Stability of Almost Periodic Solution of a Class of Neutral-Type BAM Neural Networks. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-475114
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475114