Relativistic Electron Flux Prediction at Geosynchronous Orbit Based on the Neural Network and the Quantile Regression Method
Author:
Affiliation:
1. School of Earth and Space Sciences Peking University Beijing China
2. Institute of Applied Physics and Computational Mathematics Beijing China
Funder
National Natural Science Foundation of China
Ministry of Science and Technology
Publisher
American Geophysical Union (AGU)
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020SW002445
Reference34 articles.
1. Online NARMAX model for electron fluxes at GEO
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5. Neural network prediction of relativistic electrons at geosynchronous orbit during the storm recovery phase: effects of recurring substorms
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