The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning

Abstract The accurate prediction of storm‐time thermospheric mass density is always critically important and also a challenge. In this paper, an available prediction model is established by Long Short‐Term Memory (LSTM)‐based ensemble learning algorithms. However, the generalization ability of the d...

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Principais autores:	Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2022-03-01
Serija:	Space Weather
Teme:	thermospheric mass density geomagnetic storms the LSTM‐based ensemble learning model NRLMSISE‐00
Online dostop:	https://doi.org/10.1029/2021SW002950
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