Global Exponential Stability of Antiperiodic Solution for Impulsive High-Order Hopfield Neural Networks
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper is concerned with antiperiodic solutions for impulsive high-order Hopfield neural networks with leakage delays and continuously distributed delays.
By employing a novel proof, some sufficient criteria are established to ensure the existence and global exponential stability of the antiperiodic solution, which are new and complement of previously known results.
Moreover, an example and numerical simulations are given to support the theoretical result.
American Psychological Association (APA)
Chen, Wei& Gong, Shuhua. 2014. Global Exponential Stability of Antiperiodic Solution for Impulsive High-Order Hopfield Neural Networks. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1033545
Modern Language Association (MLA)
Chen, Wei& Gong, Shuhua. Global Exponential Stability of Antiperiodic Solution for Impulsive High-Order Hopfield Neural Networks. Abstract and Applied Analysis No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1033545
American Medical Association (AMA)
Chen, Wei& Gong, Shuhua. Global Exponential Stability of Antiperiodic Solution for Impulsive High-Order Hopfield Neural Networks. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1033545
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033545
