Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Impulsive Synchronization of the Neural Networks with a Gui Chaotic Strange Attractor

Authors
Kaihua Wang, Zhanji Gui
Corresponding Author
Kaihua Wang
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.21How to use a DOI?
Keywords
neural networks; Gui chaotic strange attractor; synchronization
Abstract
in this paper, impulsive neural networks with a Gui chaotic strange attractor is studied. By employing the Lyapunov-like stability theory of impulsive functional differential equations, some criteria for synchronization between two impulsive neural networks are derived. An illustrative example is provided to show the effectiveness and feasibility of the proposed method and results.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kaihua Wang
AU  - Zhanji Gui
PY  - 2016/01
DA  - 2016/01
TI  - Impulsive Synchronization of the Neural Networks with a Gui Chaotic Strange Attractor
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 83
EP  - 87
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.21
DO  - https://doi.org/10.2991/icaita-16.2016.21
ID  - Wang2016/01
ER  -