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Forecasting total electron content maps by neural network technique

  • Published:2006-08 Issue:4 Volume:41 Page:n/a-n/a
  • ISSN:0048-6604
  • Container-title:Radio Science
  • language:en
  • Short-container-title:Radio Sci.

Author:

Tulunay Ersin,Senalp Erdem Turker1,Radicella Sandro Maria2,Tulunay Yurdanur3

Affiliation:

1. Department of Electrical and Electronics Engineering; Middle East Technical University; Ankara; Turkey

2. Aeronomy and Radiopropagation Laboratory; Abdus Salam International Centre for Theoretical Physics; Trieste; Italy

3. Department of Aerospace Engineering; Middle East Technical University; Ankara; Turkey

Publisher

American Geophysical Union (AGU)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Condensed Matter Physics

Reference22 articles.

1. Forecasting of ionospheric critical frequency using neural networks;Altinay;Geophy. Res. Lett.,1997

2. Real time Kp predictions from solar wind data using neural networks;Boberg;Phys. Chem. Earth, Part C,2000

3. Towards forecasting and mapping ionospheric space weather under COST actions;Cander;Adv. Space Res.,2003

4. Ionospheric forecasting technique by artificial neural network;Cander;Electron. Lett.,1998

5. Nonlinear prediction of the ionospheric parameter foF2 on hourly, daily, and monthly timescales;Francis;J. Geophys. Res.,2000

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