Open Access
Erratum
This article is an erratum for:
[https://doi.org/10.1051/swsc/2023026]


Issue
J. Space Weather Space Clim.
Volume 13, 2023
Article Number 29
Number of page(s) 1
DOI https://doi.org/10.1051/swsc/2023031
Published online 15 December 2023

Regarding this article, published on October 20, 2023, an error occurred:

On page 8, the Figure 6 is this image and not a duplicate of Figure 7:

thumbnail Figure 6

Left Panel – The Huber loss vs. the number of training epochs for the BiLSTM model for the validation and test sets, for the 3 energy channels. Middle Panel – The mean absolute error (MAE); the model’s metric vs. the number of training epochs. Right Panel – Shows how the learning rate of the Adam optimizer changes over the number of epochs.

The Publisher will ensure that all modifications will be correctly transmitted to the indexation bases.

The Publisher apologizes for this mistake.

Cite this article as: Nedal M, Kozarev K, Arsenov N & Zhang P 2023. Erratum for article: “Forecasting Solar Energetic Proton Integral Fluxes with Bi-Directional Long Short-Term Memory Neural Networks”. J. Space Weather Space Clim. 13, 29. https://doi.org/10.1051/swsc/2023031.


© M. Nedal et al., Published by EDP Sciences 2023

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

All Figures

thumbnail Figure 6

Left Panel – The Huber loss vs. the number of training epochs for the BiLSTM model for the validation and test sets, for the 3 energy channels. Middle Panel – The mean absolute error (MAE); the model’s metric vs. the number of training epochs. Right Panel – Shows how the learning rate of the Adam optimizer changes over the number of epochs.

In the text

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