Can Deep Learning distinguish chaos from noise? Numerical experiments and general considerations-Reference-Cited by-同舟云学术

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Can Deep Learning distinguish chaos from noise? Numerical experiments and general considerations

Published:2022-11 Issue: Volume:114 Page:106708
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Zanin Massimiliano^ORCID

Funder

European Research Council

Horizon 2020

Horizon 2020 Framework Programme

Agencia Estatal de Investigación

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis

Reference55 articles.

1. Determining Lyapunov exponents from a time series;Wolf;Physica D,1985

2. Kolmogorov-Sinai entropy rate versus physical entropy;Latora;Phys Rev Lett,1999

3. Predictability in the large: An extension of the concept of Lyapunov exponent;Aurell;J Phys A: Math Gen,1997

4. Distinguishing chaos from noise by scale-dependent Lyapunov exponent;Gao;Phys Rev E,2006

5. Effect of noise on estimation of Lyapunov exponents from a time series;Serletis;Chaos Solitons Fractals,2007

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