The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control
Author
Source
Advances in Artificial Neural Systems
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
A novel and effective approach to synchronization analysis of neural networks is investigated by using the nonlinear operator named the generalized Dahlquist constant and the general intermittent control.
The proposed approach offers a design procedure for synchronization of a large class of neural networks.
The numerical simulations whose theoretical results are applied to typical neural networks with and without delayed item demonstrate the effectiveness and feasibility of the proposed technique.
American Psychological Association (APA)
Qunli, Zhang. 2011. The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control. Advances in Artificial Neural Systems،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-457271
Modern Language Association (MLA)
Qunli, Zhang. The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control. Advances in Artificial Neural Systems No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-457271
American Medical Association (AMA)
Qunli, Zhang. The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control. Advances in Artificial Neural Systems. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-457271
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-457271
