2026-10-14T11:20:28Z https://www.scidb.cn/oai

10.57760/sciencedb.space.00860 2023-07-27T09:37:07Z

2023-07-27 A Modeling Study of ≥2 MeV Electron Fluxes with a 5-minute Resolution Based on LSTM and Transformer Networks doi:10.57760/sciencedb.space.00860 en · Our LSTM and transformer models provide predictions or gap filling of ≥2 MeV electron flux data at the geostationary orbit.· For the 1-hour, 3-hour, 6-hour, 12-hour, and 1-day prediction models, the transformer models performed better than the LSTM models with different prediction times.· The PE value of ≥2 MeV electron daily fluences calculated from our transformer model for the 1-day prediction in 2005 is higher than those of other previous models, and there is an improvement in the PE value. LSTM; transformer; GEO; prediction model Xiaojing Sun PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank