NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux

NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux

Abstract We present two new empirical models of radiation belt electron flux at geostationary orbit. GOES‐15 measurements of 0.8 MeV electrons were used to train a Nonlinear Autoregressive with Exogenous input (NARX) neural network for both modeling GOES‐15 flux values and an upper boundary conditio...

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Bibliographic Details
Main Authors: D. A. Landis, A. A. Saikin, I. Zhelavskaya, A. Y. Drozdov, N. Aseev, Y. Y. Shprits, M. F. Pfitzer, A. G. Smirnov
Format: Article
Language:English
Published: Wiley 2022-05-01
Series:Space Weather
Subjects:
radiation belts
forecasting (1922, 4315, 7924, 7964)
machine learning (0555)
Online Access:https://doi.org/10.1029/2021SW002774
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https://doi.org/10.1029/2021SW002774

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