Dynamical Behaviors of the Stochastic Hopfield Neural Networks with Mixed Time Delays
Joint Authors
Wan, Li
Wang, Pei
Zhou, Qinghua
Zhou, Zhigang
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper investigates dynamical behaviors of the stochastic Hopfield neural networks with mixed time delays.
The mixed time delays under consideration comprise both the discrete time-varying delays and the distributed time-delays.
By employing the theory of stochastic functional differential equations and linear matrix inequality (LMI) approach, some novel criteria on asymptotic stability, ultimate boundedness, and weak attractor are derived.
Finally, a numerical example is given to illustrate the correctness and effectiveness of our theoretical results.
American Psychological Association (APA)
Wan, Li& Zhou, Qinghua& Zhou, Zhigang& Wang, Pei. 2013. Dynamical Behaviors of the Stochastic Hopfield Neural Networks with Mixed Time Delays. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-467893
Modern Language Association (MLA)
Wan, Li…[et al.]. Dynamical Behaviors of the Stochastic Hopfield Neural Networks with Mixed Time Delays. Abstract and Applied Analysis No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-467893
American Medical Association (AMA)
Wan, Li& Zhou, Qinghua& Zhou, Zhigang& Wang, Pei. Dynamical Behaviors of the Stochastic Hopfield Neural Networks with Mixed Time Delays. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-467893
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467893