An Analysis of Stability of a Class of Neutral-Type Neural Networks with Discrete Time Delays
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The problem of existence, uniqueness, and global asymptotic stability is considered for the class of neutral-type neural network model with discrete time delays.
By employing a suitable Lyapunov functional and using the homeomorphism mapping theorem, we derive some new delay-independent sufficient conditions for the existence, uniqueness, and global asymptotic stability of the equilibrium point for this class of neutral-type systems.
The obtained conditions basically establish some norm and matrix inequalities involving the network parameters of the neural system.
The main advantage of the proposed results is that they can be expressed in terms of network parameters only.
Some comparative examples are also given to compare our results with the previous corresponding results and demonstrate the effectiveness of the results presented.
American Psychological Association (APA)
Orman, Zeynep& Arik, Sabri. 2013. An Analysis of Stability of a Class of Neutral-Type Neural Networks with Discrete Time Delays. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-449219
Modern Language Association (MLA)
Orman, Zeynep& Arik, Sabri. An Analysis of Stability of a Class of Neutral-Type Neural Networks with Discrete Time Delays. Abstract and Applied Analysis No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-449219
American Medical Association (AMA)
Orman, Zeynep& Arik, Sabri. An Analysis of Stability of a Class of Neutral-Type Neural Networks with Discrete Time Delays. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-449219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449219