An ANN Approach in Predicting Solar and Geophysical Indices from Ionospheric TEC Over Indore
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-8366-7_19
Reference10 articles.
1. Appleton, E.V.: Two anomalies in the ionosphere. Nature 157 (1946)
2. Dick, M., Levy, M.F., Cander, L.R., Kutiev, I., Muhtarov, P.: Short term ionospheric forecasting over Europe. IEE National Conference on Antennas and Propagation. IET (1999)+
3. Habarulema, J.B., McKinnell, L.A., Cilliers, P.J., Opperman, B.D.: Application of neural networks to South African GPS TEC modelling. Adv. Space Res. 43(11), 1711–1720 (2009). https://doi.org/10.1016/j.asr.2008.08.020
4. Hassoun, M.H.: Fundamentals of artificial neural networks. The MIT Press, Cambridge, MA (1995)
5. Jakowski, N., Hoque, M.M., Mayer, C.: A new global TEC model for estimating transionospheric radio wave propagation errors. J. Geodesy 85(12), 965–974 (2011). https://doi.org/10.1007/s00190-011-0455-1
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