Modeling and prediction of TEC based on multivariate analysis and kernel-based extreme learning machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
https://link.springer.com/content/pdf/10.1007/s10509-022-04062-5.pdf
Reference20 articles.
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3. Dabbakuti, J.K., Ratnam, D.V., Sunda, S.: Modelling of ionospheric time delays based on adjusted spherical harmonic analysis. Aviation 20, 1–7 (2016a)
4. Dabbakuti, J.R.K.K., Devanaboyina, V.R., Kanchumarthi, S.R.: Analysis of local ionospheric variability based on SVD and MDS at low-latitude GNSS stations. Earth Planets Space 68, 94 (2016b)
5. Dabbakuti, J.R.K.K., G, B.L.: Application of singular spectrum analysis using artificial neural networks in TEC predictions for ionospheric space weather. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 12, 5101–5107 (2019)
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