Machine Learning Based Modeling of Thermospheric Mass Density

Machine Learning Based Modeling of Thermospheric Mass Density

Abstract In this study, we propose a machine learning based approach to construct an empirical model of thermospheric mass densities, based on the MultiLayer Perceptron and bi‐directional Long Short‐Term Memory for ensemble learning model (MBiLE). The MBiLE model was trained by using only the thermo...

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Bibliographic Details
Main Authors: Qian Pan, Chao Xiong, Hermann Lühr, Artem Smirnov, Yuyang Huang, Chunyu Xu, Xu Yang, Yunliang Zhou, Yang Hu
Format: Article
Language:English
Published: Wiley 2024-05-01
Series:Space Weather
Subjects:
thermosphere mass density
machine learning
predict ability
wide altitude range
Online Access:https://doi.org/10.1029/2023SW003844
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https://doi.org/10.1029/2023SW003844

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