Using Recurrent Neural Networks to improve initial conditions for a solar wind forecasting model-Reference-Cited by-同舟云学术

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Using Recurrent Neural Networks to improve initial conditions for a solar wind forecasting model

Published:2024-07 Issue: Volume:133 Page:108266
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Barros Filipa S.^ORCID,Graça Paula A.^ORCID,Lima J.J.G.^ORCID,Pinto Rui F.^ORCID,Restivo André^ORCID,Villa Murillo^ORCID

Funder

CNES

European Research Council

Horizon 2020

FCT

Publisher

Elsevier BV

Reference30 articles.

1. Improved method for specifying solar wind speed near the sun;Arge,2003

2. Improving performance of zoom-in cosmological simulations using initial conditions with customized grids;Brown;New Astron.,2021

3. Quasi-Experimentation;Campbell,1979

4. Experimental and Quasi-Experimental Designs for Research;Campbell,2015

5. The challenge of machine learning in space weather: Nowcasting and forecasting;Camporeale;Space Weather,2019

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