A Prediction Model of Relativistic Electrons at Geostationary Orbit Using the EMD‐LSTM Network and Geomagnetic Indices

A Prediction Model of Relativistic Electrons at Geostationary Orbit Using the EMD‐LSTM Network and Geomagnetic Indices

Abstract In this study, the Empirical Mode Decomposition algorithm (EMD) and the Long Short Term Memory neural network (LSTM) are combined into an EMD‐LSTM model, to predict the variation of the >2 MeV electron fluxes 1 day ahead. Input parameters include the Pc5 power, AP, AE, Kp, >0.6 MeV, a...

Full description

Saved in:
Bibliographic Details
Main Authors: H. Zhang, H. R. Xu, G. S. Peng, Y. D. Qian, X. X. Zhang, G. L. Yang, C. Shen, Z. Li, J. W. Yang, Z. Q. Wang, F. He, C. L. Gu, M. B. Zhu
Format: Article
Language:English
Published: Wiley 2022-10-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2022SW003126
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1029/2022SW003126

Similar Items