Robustness Analysis of Hybrid Stochastic Neural Networks with Neutral Terms and Time-Varying Delays
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We analyze the robustness of global exponential stability of hybrid stochastic neural networks subject to neutral terms and time-varying delays simultaneously.
Given globally exponentially stable hybrid stochastic neural networks, we characterize the upper bounds of contraction coefficients of neutral terms and time-varying delays by using the transcendental equation.
Moreover, we prove theoretically that, for any globally exponentially stable hybrid stochastic neural networks, if additive neutral terms and time-varying delays are smaller than the upper bounds arrived, then the perturbed neural networks are guaranteed to also be globally exponentially stable.
Finally, a numerical simulation example is given to illustrate the presented criteria.
American Psychological Association (APA)
Wu, Chunmei& Hu, Junhao& Li, Yan. 2015. Robustness Analysis of Hybrid Stochastic Neural Networks with Neutral Terms and Time-Varying Delays. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1060446
Modern Language Association (MLA)
Wu, Chunmei…[et al.]. Robustness Analysis of Hybrid Stochastic Neural Networks with Neutral Terms and Time-Varying Delays. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1060446
American Medical Association (AMA)
Wu, Chunmei& Hu, Junhao& Li, Yan. Robustness Analysis of Hybrid Stochastic Neural Networks with Neutral Terms and Time-Varying Delays. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1060446
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060446