ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)
|Session 5: Information Processing Methods and Techniques
|05 September 2017
Exponential Synchronization of the Hopfield Neural Networks with New Chaotic Strange Attractor
Department of Software Engineering, Hainan College of Software Technology, qionghai, 571400, P.R. China
School of Mathematics and Statistics, Hainan Normal University, Haikou, Hainan, 571158, P.R. China
* Corresponding author: email@example.com
This paper studies the problems of exponential synchronization for the Hopfield neural networks with impulsive effects and Gui chaotic strange attractor. By employing the Lyapunov functional method 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.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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