Memory Analysis for Memristors and Memristive Recurrent Neural Networks

doi:10.1109/JAS.2019.1911828

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Memory Analysis for Memristors and Memristive Recurrent Neural Networks
	Gang Bao; Yide Zhang; Zhigang Zeng
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2020
卷号	7 期号:1 页码:96-105
摘要	Traditional recurrent neural networks are composed of capacitors, inductors, resistors, and operational amplifiers. Memristive neural networks are constructed by replacing resistors with memristors. This paper focuses on the memory analysis, i.e. the initial value computation, of memristors. Firstly, we present the memory analysis for a single memristor based on memristors' mathematical models with linear and nonlinear drift. Secondly, we present the memory analysis for two memristors in series and parallel. Thirdly, we point out the difference between traditional neural networks and those that are memristive. Based on the current and voltage relationship of memristors, we use mathematical analysis and SPICE simulations to demonstrate the validity of our methods.
关键词	Dopant drift memory memristive neural networks memristor
DOI	10.1109/JAS.2019.1911828
引用统计	被引频次：35[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42925
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Gang Bao,Yide Zhang,Zhigang Zeng. Memory Analysis for Memristors and Memristive Recurrent Neural Networks[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(1):96-105.
APA	Gang Bao,Yide Zhang,&Zhigang Zeng.(2020).Memory Analysis for Memristors and Memristive Recurrent Neural Networks.IEEE/CAA Journal of Automatica Sinica,7(1),96-105.
MLA	Gang Bao,et al."Memory Analysis for Memristors and Memristive Recurrent Neural Networks".IEEE/CAA Journal of Automatica Sinica 7.1(2020):96-105.

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JAS-2019-0293.pdf（2294KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览