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

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icaita-16.2016.21
ID  - Wang2016/01
ER  -