Ionospheric foF2 nowcast based on a machine learning GWO-ALSTM model-Reference-Cited by-同舟云学术

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Ionospheric foF2 nowcast based on a machine learning GWO-ALSTM model

Published:2023-12 Issue:11 Volume:72 Page:4896-4910
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Yang Zheng,Qiao Lei,Su Mingkun,Hu Zhenhua,Teng Xuyang,Wang Jiayi

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference28 articles.

1. Forecasting of ionospheric critical frequency using neural network;Altinay;Geophys. Res. Lett.,1997

2. ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module;Baek;Expert Syst. Appl.,2018

3. International Reference Ionosphere;Bilitza,1990

4. Meteorological storm influence on the ionosphere parameters;Borchevkina;Atm.,2020

5. Davies, K., 1990. Ionospheric radio. London P. Peregrinus on behalf of the Institution of Electrical Engineers.

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