DOI码：10.1029/2025SW004492

所属单位：南京航空航天大学

发表刊物：Space Weather

摘要：This study presents the development and validation of a Long Short‐Term Memory neural network model for predicting electron fluxes within the Earth's radiation belts, specifically covering an electron energy range from 33 to 2,619 keV, using data from the Magnetic Electron Ion Spectrometer onboard the Van Allen Probes (RBSP). By inputting a time series of historical solar wind conditions and geomagnetic indices, along with satellite location parameters and pitch angle, the model reproduces observed electron fluxes. A Spearman correlation analysis was performed to determine an optimal

论文类型：期刊论文

学科门类：工学

一级学科：航空宇航科学与技术

文献类型：J

卷号：23

期号：9

页面范围：e2025SW004492

ISSN号：1542-7390

是否译文：否

发表时间：2025-07-14

合写作者：何梦芸,Yukuan Ma

第一作者：王彪

通讯作者：方美华