Transfer learning in spatial–temporal forecasting of the solar magnetic field-Reference-Cited by-同舟云学术

Transfer learning in spatial–temporal forecasting of the solar magnetic field

Published:2020-03-30 Issue:4 Volume:341 Page:384-394
ISSN:0004-6337
Container-title:Astronomische Nachrichten
language:en
Short-container-title:Astron. Nachr

Author:

Covas Eurico¹

Affiliation:

1. CITEUC—Centre for Earth and Space Research of the University of CoimbraGeophysical and Astronomical Observatory of the University of Coimbra, University of Coimbra Coimbra Portugal

Funder

European Regional Development Fund

Fundação para a Ciência e a Tecnologia

Publisher

Wiley

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asna.202013690

Reference91 articles.

1. Abadi M. Barham P. Chen J. et al.2016 12th USENIX Symp. OSDI '16.https://doi.org/10.1038/nn.3331

2. Solar Activity in the Past and the Chaotic Behaviour of the Dynamo

3. Evolution of the large-scale magnetic field on the solar surface: A parameter study

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