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References

  • Altinay, O., E. Tulunay, Y. Tulunay, Forecasting of ionospheric critical frequency using neural network, Geophys. Res. Lett., 24, 14671470, 1997.
  • Boberg, F., P. Wintoft, H. Lundstedt, Real time Kp predictions from solar wind data using neural networks, Phys. Chem. Earth, 1999.
  • Cander, L. R., X. Lamming, Neural networks in ionospheric prediction and short-term forecasting, 10th International Conference on Antennas and Propagation, 14–17 April 1997, Edinburgh, IEE Conf. Publ., 436 2.272.30, 1997.
  • Cander, L. R., M. M. Milosavljevic, S. S. Stankovic, S. Tomasevic, Ionospheric forecasting technique by artifical neural network, Electron. Lett., 3416, 15731574, 1998.
  • Davies, K., Ionospheric Radio, Peter Peregrinus, London, 1990.
  • Francis, N. M., A. G. Brown, A. Akram, P. S. Cannon, D. S. Broomhead, Non-linear prediction of the ionospheric parameter foF2, Proceedings of the Second International Workshop on Artificial Intelligence Applications in Solar-terrestrial Physics, ESA WPP-148 Proc.I. Sandahl, E. Jonsson, 219223, Eur. Space Agency, Paris, 1998.
  • Francis, N. M., A. G. Brown, P. S. Cannon, D. S. Broomhead, Non-linear interpolation of missing points within the hourly foF2 time series, Proceedings of the Workshop on Space Weather, ESA WPP-155 Proc 419422, Eur. Space Agency, Paris, 1999a.
  • Francis, N. M., A. G. Brown, P. S. Cannon, A. Akram, D. S. Broomhead, Novel non-linear techniques for the prediction of noisy geophysical time series that contain a significant proportion of data drop outs, Phys. Chem. Earth, 1999b.
  • Gleisner, H., H. Lundstedt, P. Wintoft, Predicting geomagnetic storms from solar-wind data using time-delay neural networks, Ann. Geophys., 14, 679686, 1996.
  • Goodman, J. M., HF Communications: Science and Technology, Van Nostrand Reinhold, New York, 1992.
  • Haykin, S., Neural Networks: A Comprehensive Foundation, Indianapolis, Indiana, 1994.
  • , Solar-Terrestrial Predictions: VG. Heckman, K. Marubashi, M. A. Shea, D. F. Smart, R. Thompson, Reg. Warning Cent., Tokyo, Ibaraki, 1997.
  • Houminer, Z., H. Soicher, Improved short-term predictions of foF2 using GPS time delay measurements, Radio Sci., 315, 10991108, 1996.
  • Johnson, E. E., R. I. Desourdis, G. D. Earle, S. C. Cook, J. C. Ostergaard, Advanced High-Frequency Radio Communication, Artech House Publishers, Norwood, Mass., 1997.
  • Jolliffe, I. T., Principal Component Analysis, Springer-Verlag, New York, 1986.
  • Kumluca, A., E. Tulunay, I. Topalli, Y. Tulunay, Temporal and spatial forecasting of ionospheric critical frequency using neural networks, Radio Sci., 346, 14971506, 1999.
  • Kutiev, I., P. Muhtarov, L. R. Cander, M. F. Levy, Short-term prediction of ionospheric parameters based on autocorrelation analysis, Ann. Geofis., 42, 121127, 1999.
  • Lamming, X., L. R. Cander, Monthly median foF2 modelling COST251 area by neural networks, Phys. Chem. Earth, 24, 349354, 1999.
  • Lundstedt, H., P. Wintoft, Prediction of geomagnetic storms from solar wind data with the use of neural networks, Ann. Geophys., 12, 1924, 1994.
  • McNamara, L. F., The Ionosphere: Communications, Surveillance, and Direction Finding, Orbit Books, Malabar, Fl., 1991.
  • Muhtarov, P., I. Kutiev, Autocorrelation method for temporal interpolation and short-term prediction of ionospheric data, Radio Sci., 342, 459464, 1999.
  • Piggott, W. R., K. Rawer, U.R.S.I. handbook of ionogram interpretation and reductionRep. UAG-23Natl. Oceanic and Atmos. Admin., Boulder, Colo., 1972.
  • Poole, A. W. V., L. A. McKinnel, Short term prediction of foF2 using neural networks, Proceedings of the XXV General Assembly URSI, 1996Rep. UAG-105, 109111World Data Cent. A for Sol.-Terr. Phys., Boulder, Colo., 1998.
  • Prölss, G. W., Ionospheric F-region storms, Handbook of Atmospheric Electrodynamics, 2H. Volland, 195248, CRC Press, Boca Raton, Fl., 1995.
  • Reinisch, B. W., Ionosonde, Upper AtmosphereW. Dieminger, G. K. Hartmann, R. Leitinger, 370381, Springer-Verlag, New York, 1996.
  • Rishbeth, H., F-region storms and thermospheric dynamics, J. Geomagn. Geoelectr., 43, 513524, 1991.
  • Wilkinson, P. J., E. Szuszczewicz, A. Danilov, D. R. Lakshmi, T. Fuller-Rowell, T. Maruyama, Ionospheric Working Group report, Solar-Terrestrial Predictions: V 1217, Reg. Warning Cent., Tokyo, Ibaraki, 1997.
  • Williscroft, L.-A., A. W. V. Poole, Neural networks, foF2, sunspot number and magnetic activity, Geophys. Res. Lett., 23, 36593662, 1996.
  • Wintoft, P., L. R. Cander, Short-term prediction of foF2 using time-delay neural networks, Phys. Chem. Earth, 244, 343348, 1999a.
  • Wintoft, P., L. R. Cander, Ionospheric foF2 storm forecasting using neural networks, Phys. Chem. Earth, 1999b.
  • Wu, J.-G., H. Lundstedt, Neural network modeling of solar wind-magnetosphere interaction, J. Geophys. Res., 102, 1445714466, 1997.