Projective synchronization of fractional-order memristor-based neural networks

Projective synchronization of fractional-order memristor-based neural networks
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基于分数阶忆阻器的神经网络的投影同步

DOI:
10.1016/j.neunet.2014.10.007
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发表时间:
2015-03-01
期刊:
影响因子:
7.8
通讯作者:
Cao, Jin-De
Cao, Jin-De
中科院分区:
计算机科学1区
文献类型:
--
作者:
Bao, Hai-Bo;Cao, Jin-De

文献摘要

被引文献

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本文研究了基于分数阶忆阻器的神经网络的投影同步。通过结合分数阶微分不等式,在卡普托分数阶导数的意义下推导出了充分条件。给出了两个数值例子以表明主要结果的有效性。本文的结果扩展并改进了先前关于分数阶神经网络同步的一些工作。© 2014爱思唯尔有限公司。保留所有权利。
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. (C) 2014 Elsevier Ltd. All rights reserved.