分数阶忆阻神经网络的投影同步。
Projective synchronization of fractional-order memristor-based neural networks.
机构信息
School of Mathematics and Statistics, Southwest University, Chongqing 400715, China.
Department of Mathematics, Southeast University, Nanjing 210096, China; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
出版信息
Neural Netw. 2015 Mar;63:1-9. doi: 10.1016/j.neunet.2014.10.007. Epub 2014 Oct 31.
This paper investigates the projective synchronization of fractional-order memristor-based neural networks. Sufficient conditions are derived in the sense of Caputo's fractional derivation and by combining a fractional-order differential inequality. Two numerical examples are given to show the effectiveness of the main results. The results in this paper extend and improve some previous works on the synchronization of fractional-order neural networks.
本文研究了分数阶忆阻神经网络的投影同步问题。在 Caputo 分数导数的意义下，通过结合一个分数阶微分不等式，得到了充分条件。给出了两个数值例子来说明主要结果的有效性。本文的结果扩展和改进了分数阶神经网络同步的一些先前工作。
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