https://doi.org/10.1051/epjconf/202531802010
Selecting the neural network architecture in the problem of geomagnetic SME index modeling
Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, Mirnaya st., 7, Paratunka, Kamchatskiy krai, 684034, Russian Federation
* Corresponding author: up_agent@mail.ru
Published online: 17 February 2025
The paper solves the problem of selecting the recurrent neural network architecture to construct geomagnetic SME index architecture. The description is given for the architectures providing the processing of longterm dependencies in data. Neural network performance quality was estimated on the basis of errors. The Dropout layer effect on the modeling results is shown separately. The constructed neural network models can be used to forecast the SME index variations.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
