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Ionospheric forecasting technique by artificial neural network

Ionospheric forecasting technique by artificial neural network

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An artificial neural network method is applied to the development of an ionospheric forecasting technique for one hour ahead. Comparisons between the observed and predicted values of the critical frequency of the F2 layer, foF2, and the total electron content (TEC) are presented to show the appropriateness of the proposed technique.

References

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      • L.W. Barclay . (2003) Propagation of radiowaves.
    2. 2)
      • S. Haykin . (1994) Neural networks - a comprehensive foundation.
    3. 3)
      • Lj.R. Cander , S. Stankovic , M. Milosavljevic . Dynamic ionospheric prediction by neural networks. Proc. Artificial Intelligence Applications in Solar-terrestrial Physics
    4. 4)
      • Poole, A.W.V., McKinnell, L.A.: `Short term prediction of foF2 using neural networks', UAG-105, 1998, p. 109–111.
    5. 5)
      • Ciraolo, L., Spalla, P.: `An analysis of consistency of TEC evaluated using pseudo-range GPS observations', Proc. Int. Beacon Satellite Symp., 1994, p. 21–24.
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