Memristor based Reservoir Network for Chaotic Time Series Prediction
Author:
Affiliation:
1. University of Mississippi,Department of Electrical and Computer Engineering,Oxford,Mississippi
2. The Pennsylvania State University,Department of Mechanical Engineering,State College,Pennsylvania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9987724/9987729/09988207.pdf?arnumber=9988207
Reference30 articles.
1. Training and operation of an integrated neuromorphic network based on metal-oxide memristors
2. Memristive devices for computing
3. Sparse coding with memristor networks
4. Constructing optimized binary masks for reservoir computing with delay systems;appeltant;Scientific Reports,2014
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reliability Analysis of Memristive Reservoir Computing Architecture;Proceedings of the Great Lakes Symposium on VLSI 2023;2023-06-05
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