Comment on “Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification” by Abduallah et al. (2024)

Comment on “Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification” by Abduallah et al. (2024)

Abstract Abduallah et al. (2024b, https://doi.org/10.1029/2023sw003824) proposed a novel approach using a deep neural network model, which includes a graph neural network and a bidirectional LSTM layer, named SYMHnet, to forecast the SYM‐H index one and 2 hr in advance. Additionally, the network als...

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Bibliographic Details
Main Authors: Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid
Format: Article
Language:English
Published: Wiley 2024-08-01
Series:Space Weather
Subjects:
machine learning
uncertainty
geomagnetic indices forecasting
Online Access:https://doi.org/10.1029/2024SW003909
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https://doi.org/10.1029/2024SW003909

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