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Machine learning assisted network classification from symbolic time-series

Published:2021-03 Issue:3 Volume:31 Page:031106
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Panday Atish¹,Lee Woo Seok²^ORCID,Dutta Subhasanket¹,Jalan Sarika¹³^ORCID

Affiliation:

1. Complex Systems Lab, Department of Physics, Indian Institute of Technology Indore, Indore 453552, India

2. Center for Theoretical Physics of Complex Systems, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea

3. Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore 453552, India

Funder

Council for scientific and Industrial research India

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0046406

Reference44 articles.

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

2. Predicting bursting in a complete graph of mixed population through reservoir computing

3. Machine learning dynamical phase transitions in complex networks

4. Identification of chimera using machine learning

5. Machine Learning With Observers Predicts Complex Spatiotemporal Behavior

Cited by 11 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. How neural networks learn to classify chaotic time series;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-12-01

2. Physics-Informed Neural Network Method for Predicting Soliton Dynamics Supported by Complex Parity-Time Symmetric Potentials;Chinese Physics Letters;2023-07-01

3. Predicting the data structure prior to extreme events from passive observables using echo state network;Frontiers in Applied Mathematics and Statistics;2022-10-20

4. Role of assortativity in predicting burst synchronization using echo state network;Physical Review E;2022-06-10

5. Data driven soliton solution of the nonlinear Schrödinger equation with certain PT-symmetric potentials via deep learning;Chaos: An Interdisciplinary Journal of Nonlinear Science;2022-05

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