Topside ionospheric TEC modeling using multiple LEO satellites based on genetic algorithm-optimized machine learning models
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10291-023-01565-8.pdf
Reference37 articles.
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2. Bilitza D, McKinnell LA, Reinisch B, Fuller-Rowell T (2011) The international reference ionosphere today and in the future. J Geod 85(12):909–920. https://doi.org/10.1007/s00190-010-0427-x
3. Breiman L (2001) Random forests. Mach Learn 45:5–32
4. Chen P, Yao Y, Li Q, Yao W (2017) Modeling the plasmasphere based on LEO satellites onboard GPS measurements. J Geophys Res Space Phys 122(1):1221–1233. https://doi.org/10.1002/2016JA023375
5. Chen J, Zhi N, Liao H, Lu M, Feng S (2022) Global forecasting of ionospheric vertical total electron contents via ConvLSTM with spectrum analysis. GPS Solut 26(3):1–10. https://doi.org/10.1007/s10291-022-01253-z
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