Support Vector Regression model to predict TEC for GNSS signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-022-00954-w.pdf
Reference22 articles.
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2. Ban P-P, Sun S-J, Chen C, Zhao Z-W (2011) Forecasting of low-latitude storm-time ionospheric foF2 using support vector machine. Radio Sci 46:1–9
3. Bilitza D, Altadill D, Truhlik V et al (2017) International Reference Ionosphere 2016: from ionospheric climate to real-time weather predictions. Space Weather 15:418–429
4. Cesaroni C, Spogli L, Aragon-Angel A. et al. (2020) Neural network based model for global total electron content forecasting. J Space Weather Space Clim
5. Chen C, Wu Z-S, Ban P-P, Sun S-J, Xu Z-W, Zhao Z-W (2010) Diurnal specification of the ionospheric f 0 F 2 parameter using a support vector machine. Radio Sci 45:1–13
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