Dynamical Behaviors of Stochastic Hopfield Neural Networks with Both Time-Varying and Continuously Distributed Delays

Joint Authors

Zhang, Penglin
Wan, Li
Zhou, Qinghua

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-04-11

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

This paper investigates dynamical behaviors of stochastic Hopfield neural networks with both time-varying and continuously distributed delays.

By employing the Lyapunov functional theory and linear matrix inequality, some novel criteria on asymptotic stability, ultimate boundedness, and weak attractor are derived.

Finally, an example is given to illustrate the correctness and effectiveness of our theoretical results.

American Psychological Association (APA)

Zhou, Qinghua& Zhang, Penglin& Wan, Li. 2013. Dynamical Behaviors of Stochastic Hopfield Neural Networks with Both Time-Varying and Continuously Distributed Delays. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-486681

Modern Language Association (MLA)

Zhou, Qinghua…[et al.]. Dynamical Behaviors of Stochastic Hopfield Neural Networks with Both Time-Varying and Continuously Distributed Delays. Abstract and Applied Analysis No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-486681

American Medical Association (AMA)

Zhou, Qinghua& Zhang, Penglin& Wan, Li. Dynamical Behaviors of Stochastic Hopfield Neural Networks with Both Time-Varying and Continuously Distributed Delays. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-486681

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-486681