Implementing a Magnonic Reservoir Computer Model Based on Time-Delay Multiplexing-Reference-Cited by-同舟云学术

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Implementing a Magnonic Reservoir Computer Model Based on Time-Delay Multiplexing

Published:2021-06-24 Issue:6 Volume:15 Page:
ISSN:2331-7019
Container-title:Physical Review Applied
language:en
Short-container-title:Phys. Rev. Applied

Author:

Watt Stuart^ORCID,Kostylev Mikhail^ORCID,Ustinov Alexey B.^ORCID,Kalinikos Boris A.

Funder

Ministry of Science and Higher Education of the Russian Federation

Australian Government Research Training Program

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevApplied.15.064060/fulltext

Reference39 articles.

1. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

2. An experimental unification of reservoir computing methods

3. Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics

4. Recent advances in physical reservoir computing: A review

5. Physical reservoir computing—an introductory perspective

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