Artificial neural network technique for predicting the critical frequency of the ionospheric F 2 layer-Reference-Cited by-同舟云学术

Artificial neural network technique for predicting the critical frequency of the ionospheric F 2 layer

Published:2005-01 Issue:1 Volume:48 Page:1-13
ISSN:0033-8443
Container-title:Radiophysics and Quantum Electronics
language:en
Short-container-title:Radiophys Quantum Electron

Author:

Barkhatov N. A.,Revunov S. E.,Uryadov V. P.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Astronomy and Astrophysics,Nuclear and High Energy Physics,Statistical and Nonlinear Physics,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.1007/s11141-005-0043-4.pdf

Reference22 articles.

1. V. V. Kruglov and V. V. Borisov, Artificial Neural Networks. Theory and Practice [in Russian], Goryachaya Linia-Telekom, Moscow (2000).

2. V. P. Dyakonov and V. V. Kruglov, MATLAB Mathematical Extension Packages. Special Handbok [in Russian], Piter, St. Petersburg (2001).

3. N. A. Barkhatov, A. V. Korolev, S. M. Ponomarev, and S. Yu. Sakharov, Radiophys. Quantum Electron., 44, No.9, 742 (2001).

4. N. A. Barkhatov, N. S. Bellustin, A. E. Levitin, and S. Yu. Sakharov, Radiophys. Quantum Electron., 43, No.5, 347 (2000).

5. N. A. Barkhatov, A. E. Levitin, and S. Yu. Sakharov, Geomagn. Aeron., 42, No.2, 184 (2002).

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