https://doi.org/10.1051/epjconf/202531802001
Geomagnetic data real-time forecast based on neural networks
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
Earth magnetosphere has a complex structure and its state is estimated by geomagnetic indexes. The paper suggests an approach to make real-time forecast of SME geomagnetic index variations. The approach is based on the combination of neural networks and wavelets. The features of input data formation for neural network models and forecast results are shown. The obtained neural network models can be applied in geomagnetic state monitoring problems.
© The Authors, published by EDP Sciences, 2025
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