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SiO的可调短期内存:用于储库计算的基于Ag的memristor
Ruiyi Li1,2, Haozhang Yang1,2, Yizhou Zhang1,2
1School of Integrated Circuits, Peking University, Beijing 100871, People's Republic of China.
Nanotechnology
|October 9, 2023
概括
这项研究表明调制memristor短期记忆用于增强的储库计算 (RC). 可调节的内存可以提高时间数据处理任务的性能,例如时间序列预测和模式识别.
科学领域:
- 材料科学与工程 材料科学与工程
- 计算神经科学是一种神经科学.
- 人工智能的人工智能
背景情况:
- 时间信息处理在金融,生物医学和工程领域至关重要.
- 储水计算 (RC) 提供高效的时间数据处理,培训成本低.
- 现有的基于memristor的RC系统具有固定的短期内存,限制了任务的适应性.
研究的目的:
- 提出并展示调节Pt/SiO:Ag/Pt记忆器的短期记忆的方法.
- 通过调整memristor特性来提高储计算系统的性能.
- 为了使基于memristor的RC系统能够执行各种时间分析任务.
主要方法:
- 调节 memristor 短期内存通过控制读取电压,脉冲振幅和脉冲宽度来调节.
- 制造具有可调性特征时间 (微秒到毫秒) 的 Pt/SiO:Ag/Pt 记忆器.
- 实现基于memristor的RC网络用于分类,时间序列预测和模式识别.
主要成果:
- 在memristors的特征时间内实现了三级大小的范围.
- 在4位脉冲流分类中证明了高精度 (99.6%的口语数字,91.7%的MNIST).
- 获得了Hénon地图 (0.003) 和Mackey-Glass时间序列 (0.27) 的低预测误差.
结论:
- 基于memristor的RC系统具有可调节的短期内存,显示出卓越的性能.
- 开发的方法为处理多个时间处理任务提供了高度可控性.
- 这项工作推进了memristors在适应性和高效时间信息处理中的应用.
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