记忆电阻器
油藏计算
计算机科学
非线性系统
任务(项目管理)
磁滞
人工神经网络
简单(哲学)
人工智能
拓扑(电路)
电子工程
循环神经网络
工程类
物理
电气工程
量子力学
认识论
哲学
系统工程
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2021-10-15
卷期号:69 (3): 1817-1821
被引量:19
标识
DOI:10.1109/tcsii.2021.3118646
摘要
Compared with continuous memristor, discrete memristor has not been deeply studied. In this work, a new discrete memristor model and its pinched hysteresis loops are explored. Based on this model, a simple 2D hyperchaotic map and its dynamics are exhibited. Reservoir computing is an extension of neural networks, which has been received adequate attention. So far, the application of discrete memristor on reservoir has not been reported. To this end, we consider the discrete memristor-based map as a reservoir and verify its performance by a nonlinear regression task. The results indicate that the memristor-based map can be used effectively as a reservoir and enable reservoir computing systems go further on the way of efficient processing temporal signals in the future.
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