1. [1] de Paula, E., Rodrigues, FS ,Iyer, KN ,Kantor, IJ ,Abdu, MA ,Kintner, PM ,Ledvina, BM ,Kil, H, Equatorial anomaly effects on GPS scintillations in Brazil. Advances in Space Research, 2003. 31(3): p. 749-754. [ DOI:10.1016/S0273-1177(03)00048-6] 2. [2] Xu, R., Liu, Z. ,Li, M. ,Morton, Y. ,Chen, W., An Analysis of Low-Latitude Ionospheric Scintillation and Its Effects on Precise Point Positioning. Journal of Global Positioning Systems, 2012. 11(1): p. 22-32. [ DOI:10.5081/jgps.11.1.22] 3. [3] Abdu, M.A., Outstanding problems in the equatorial ionosphere-thermosphere electrodynamics relevant to spread F. Journal of Atmospheric and Solar-Terrestrial Physics, 2001. 63(9): p. 869-884. [ DOI:10.1016/S1364-6826(00)00201-7] 4. [4] Appleton, E.V., The anomalous equatorial belt in the F2-layer. Journal of Atmospheric and terrestrial Physics, 1954. 5(1-6): p. 348-351. [ DOI:10.1016/0021-9169(54)90054-9] 5. [5] Sultan, P.J., Linear theory and modeling of the Rayleigh-Taylor instability leading to the occurrence of equatorial spreadF. Journal of Geophysical Research: Space Physics, 1996. 101(A12): p. 26875-26891. [ DOI:10.1029/96JA00682] 6. [6] de lima, G., Stephany, S., de Paula, E., Batista, I. , Abdu, M.A, Prediction of the level of ionospheric scintillation at equatorial latitudes in Brazil using a neural network. Space Weather, 2015. 13(8): p. 446-457. [ DOI:10.1002/2015SW001182] 7. [7] Sridhar, M., Venkata Ratnam, D. ,Padma Raju, K. ,Sai Praharsha, D. ,Saathvika, K., Ionospheric scintillation forecasting model based on NN-PSO technique. Astrophysics and Space Science, 2017. 362. [ DOI:10.1007/s10509-017-3144-6] 8. [8] Basu, S., Groves, K., Basu, S., Sultan, P, Ionospheric scintillation: A Tutorial. J. Atmos. Sol.-Terr. Phys., 2002. 9. [9] Béniguel, Y., Adam, J. P. ,Jakowski, N. ,Noack, T. ,Wilken, V. ,Valette, J. J. ,Cueto, M. ,Bourdillon, A. ,Lassudrie-Duchesne, P. ,Arbesser-Rastburg, B., Analysis of scintillation recorded during the PRIS measurement campaign. Radio Science, 2009. 44(1): p. 1-11. [ DOI:10.1029/2008RS004090] 10. [10] Forte, B., Radicella, S.M., Comparison of ionospheric scintillation models with experimental data for satellite navigation applications. Annals of Geophysics, 2005. 11. [11] Secan, J., Bussey, R. ,Fremouw, E. ,Basu, S., An improved model of equatorial scintillation. Radio Science, 1995. 30(3): p. 607-617. [ DOI:10.1029/94RS03172] 12. [12] Das, A., Gupta, A. ,Ray, S., Characteristics of L-band (1.5GHz) and VHF (244MHz) amplitude scintillations recorded at Kolkata during 1996-2006 and development of models for the occurrence probability of scintillations using neural network. Journal of Atmospheric and Solar-Terrestrial Physics, 2010. 72(9-10): p. 685-704. [ DOI:10.1016/j.jastp.2010.03.010] 13. [13] Rezende, L., de Paula, E. ,Stephany, S. ,Kantor, I. ,Muella, M. ,de Siqueira, P. ,Correa, K., Survey and prediction of the ionospheric scintillation using data mining techniques. Space Weather, 2010. 8(6): p. 1-10. [ DOI:10.1029/2009SW000532] 14. [14] Anderson, D., Morton, Y. ,Jiao, Y. ,Redmon, R., Day-fo-day Monitoring of the Comparisons Between UHF Scintillation Forecasts and GNSS Observations. 2013. 15. [15] de Lima, G., Stephany, S. ,de Paula, E. ,Batista, I. ,Abdu, M.A. ,Rezende, L. ,Aquino, M. ,Dutra, A., Correlation analysis between the occurrence of ionospheric scintillation at the magnetic equator and at the southern peak of the Equatorial Ionization Anomaly. Space Weather, 2014. 12(6): p. 406-416. [ DOI:10.1002/2014SW001041] 16. [16] Taabu, S., D'ujanga, FM ,Ssenyonga, T., Prediction of ionospheric scintillation using neural network over East African region during ascending phase of sunspot cycle 24. Advances in Space Research, 2016. 57(7): p. 1570-1584. [ DOI:10.1016/j.asr.2016.01.014] 17. [17] Van Dierendonck, A.a.Q.H., Measuring ionospheric scintillation effects from GPS signals. Proceedings of the 57th Annual Meeting of the Institute of Navigation., 2001. 18. [18] de Paula, E.R., F. S. Rodrigues, K. N. Iyer, I. J. Kantor, M. A. Abdu, P. M. Kintner, B. M. Ledvina, and H. Kintner Equatorial anomaly effects on GPS scintillations in Brazil. 2003. [ DOI:10.1016/S0273-1177(03)00048-6] 19. [19] Zolesi, B., Cander, L. R., The General Structure of the Ionosphere, in Ionospheric Prediction and Forecasting. 2014, Springer. p. 11-48. [ DOI:10.1007/978-3-642-38430-1_2] 20. [20] Wilkinson, J., New Eyes on the Sun: A Guide to Satellite Images and Amateur Observation. Springer Science & Business Media. 2012. [ DOI:10.1007/978-3-642-22839-1_7] 21. [21] Aquino, M.H.O., Waugh, S., Dodson, A., Moore, T., Skone ,S., GPS based Ionospheric Scintillation Monitoring. Technical Report,Institute of Engineering Surveying and Space Geodesy, 2004. 22. [22] Haykin, S., Neural Networks and Learning Machines 2008, New Jersey: Pearson Prentice Hall. 23. [23] Beale, R., Jackson, T., Neural Computing-an introduction. 1990, London: CRC Press. [ DOI:10.1201/9781420050431] 24. [24] Norgaard, P.M., The Neural Network Based System Identification Toolbox. Technical Report, Department of Automation, Technical University of Denmark, 1997. 25. [25] Alireza, M., Genetic algorithm and its applications. 2014, Tehran: Naghos. 26. [26] Schaffer, J.D., Whitley, D. ,Eshelman, L. J. Combinations of genetic algorithms and neural networks: A survey of the state of the art. in Combinations of Genetic Algorithms and Neural Networks, 1992., COGANN-92. International Workshop on. 1992. IEEE. 27. [27] Alonso, M.A., Fernando Desantes, Jos M. Hernndez, Leonor Hernndez, Vicente Molt, Germn, Combining Neural Networks and Genetic Algorithms to Predict and Reduce Diesel Engine Emissions. IEEE Transactions on Evolutionary Computation, 2007. 11(1): p. 46-55. [ DOI:10.1109/TEVC.2006.876364] 28. [28] Davis, D.J.M.a.L., Training Feedforward Neural Networks Using Genetic Algorithms. 2005. 29. [29] Montana, D.J., Neural Network Weight Selection Using Genetic Algorithms. 2008. 30. [30] Montana, D.J., Davis, L. Training Feedforward Neural Networks Using Genetic Algorithms. in IJCAI. 1989. 31. [31] Cook, D.F., Ragsdale, C. T. ,Major, R.L., Combining a neural network with a genetic algorithm for process parameter optimization. Engineering applications of artificial intelligence, 2000. 13(4): p. 391-396. [ DOI:10.1016/S0952-1976(00)00021-X] 32. [32] Ashour, M.A., AlZahby, S.A, Abdalla, M.I., Training Feed Forward Neural Network Using Genetic Algorithm to Predict Mean Temperature. IJRRAS, 2016. 29: p. 19-26. 33. [33] Yang, Z., Liu, Z., Correlation between ROTI and Ionospheric Scintillation Indices using Hong Kong low-latitude GPS data. GPS solutions, 2016. 20(4): p. 815-824. [ DOI:10.1007/s10291-015-0492-y]
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