Memory Analysis for Memristors and Memristive Recurrent Neur

发布时间：2021-09-06 03:25

　　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... 

【文章来源】：IEEE/CAA Journal of Automatica Sinica. 2020,7(01)EISCICSCD

【文章页数】：10 页

【参考文献】：
期刊论文
[1]忆阻及其应用研究综述[J]. 王小平,沈轶,吴计生,孙军伟,李薇.  自动化学报. 2013(08)



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