Memory Analysis for Memristors and Memristive Recurrent Neural Networks

• 作 者: Gang Bao Yide Zhang Zhigang Ze
• 机 构: IEEE,HubeiKeyLaboratoryofCascadedHydropowerStationsOperationandControl,HubeiKeyLaboratoryofAppliedMa
• 出 处: 自动化学报:英文版
• 发表日期: 2020年1期
• 关键词: Index Terms—Dopant DRIFT MEMORY memristive NEURAL networks MEMRISTOR
• 基金项目: the National Natural Science Foundation of China(61876097,61673188,61761130081),the National Key Research and Development Program of China(2016YFB0800402),the Foundation for Innovative Research Groups

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 initia