Existence and exponential stability of almost‐periodic solutions for neutral BAM neural networks with time‐varying delays in leakage terms on time scales. (28th July 2015)
- Record Type:
- Journal Article
- Title:
- Existence and exponential stability of almost‐periodic solutions for neutral BAM neural networks with time‐varying delays in leakage terms on time scales. (28th July 2015)
- Main Title:
- Existence and exponential stability of almost‐periodic solutions for neutral BAM neural networks with time‐varying delays in leakage terms on time scales
- Authors:
- Gao, Jin
Wang, Qiru
Lin, Yuan - Abstract:
- Abstract : This paper is concerned with neutral bidirectional associative memory neural networks with time‐varying delays in leakage terms on time scales. Some sufficient conditions on the existence, uniqueness, and global exponential stability of almost‐periodic solutions are established. An example is presented to illustrate the feasibility and effectiveness of the obtained results. Copyright © 2015 John Wiley & Sons, Ltd.
- Is Part Of:
- Mathematical methods in the applied sciences. Volume 39:Number 6(2016:Apr. 15)
- Journal:
- Mathematical methods in the applied sciences
- Issue:
- Volume 39:Number 6(2016:Apr. 15)
- Issue Display:
- Volume 39, Issue 6 (2016)
- Year:
- 2016
- Volume:
- 39
- Issue:
- 6
- Issue Sort Value:
- 2016-0039-0006-0000
- Page Start:
- 1361
- Page End:
- 1375
- Publication Date:
- 2015-07-28
- Subjects:
- neutral BAM neural networks on time scales -- time‐varying delays in leakage terms -- almost‐periodic solutions -- global exponential stability
Mathematics -- Periodicals
Technology -- Mathematics -- Periodicals
519 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/mma.3574 ↗
- Languages:
- English
- ISSNs:
- 0170-4214
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5402.530000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 80.xml