Long Short‐Term Memory Neural Network for Ionospheric Total Electron Content Forecasting Over China-Reference-Cited by-同舟云学术

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Long Short‐Term Memory Neural Network for Ionospheric Total Electron Content Forecasting Over China

Published:2021-04 Issue:4 Volume:19 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Xiong Pan¹^ORCID,Zhai Dulin²,Long Cheng³,Zhou Huiyu⁴,Zhang Xuemin¹,Shen Xuhui⁵^ORCID

Affiliation:

1. Institute of Earthquake Forecasting China Earthquake Administration Beijing China

2. Key Laboratory of Earthquake Geodesy Institute of Seismology China Earthquake Administration Wuhan China

3. School of Computer Science and Engineering Nanyang Technological University Singapore Singapore

4. School of Informatics University of Leicester Leicester UK

5. National Institute of Natural Hazards Ministry of Emergency Management of China Beijing China

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020SW002706

Reference82 articles.

1. Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm

2. Ionospheric effects of the solar flares of September 23, 1998 and July 29, 1999 as deduced from global GPS network data

3. Empirical forecast of quiet time ionospheric Total Electron Content maps over Europe

4. International data on magnetic disturbances, first quarter, 1949

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