Knowledge Commons of Institute of Automation,CAS
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 | |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
JAS-2019-0293.pdf(2294KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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