Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography

Published:2018-07-24 Issue:1 Volume:98 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

Antonik Piotr,Gulina Marvyn,Pauwels Jaël,Massar Serge

Funder

Federaal Wetenschapsbeleid

Fonds De La Recherche Scientifique - FNRS

Fonds Wetenschappelijk Onderzoek

Université de Namur

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.98.012215/fulltext

Reference46 articles.

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

2. Brain-Inspired Photonic Signal Processor for Generating Periodic Patterns and Emulating Chaotic Systems

3. Reservoir observers: Model-free inference of unmeasured variables in chaotic systems

4. Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data

5. Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

Cited by 76 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. Significant improvement of chaotic synchronization quality of two polarization components emitted by an optically pumped spin- VCSEL using wavelet decomposition in photonic reservoir computers;Optics Communications;2024-11

2. Enhancing African market predictions: Integrating quantum computing with Echo State Networks;Scientific African;2024-09

3. Chaotic attractor reconstruction using small reservoirs—the influence of topology;Machine Learning: Science and Technology;2024-08-27

4. Exploration of a brain-inspired photon reservoir computing network based on quantum-dot spin-VCSELs;Optics Express;2024-07-23

5. Lyapunov analysis of data-driven models of high dimensional dynamics using reservoir computing: Lorenz-96 system and fluid flow;Journal of Physics: Complexity;2024-06-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3