Journal of Software Engineering and Applications

Vol.5 No.12BB(2012), Paper ID 27149, 7 pages

DOI:10.4236/jsea.2012.512B035

 

Method of Detection Abnormal Features in Ionosphere Critical Frequency Data on the Basis of Wavelet Transformation and Neural Networks Combination

 

O. V. Mandrikova, Yu. A. Polozov, V. V. Bogdanov, E. A. Zhizhikina

 

Institute of Cosmophysical Researches and Radio Wave Propagation FEB RAS, Petropavlovsk-Kamchatskij, Russia; Kamchatka State Technical University, Petropavlovsk-Kamchatskij, Russia.
Institute of Cosmophysical Researches and Radio Wave Propagation FEB RAS, Petropavlovsk-Kamchatskij, Russia; Kamchatka State Technical University, Petropavlovsk-Kamchatskij, Russia
Institute of Cosmophysical Researches and Radio Wave Propagation FEB RAS, Petropavlovsk-Kamchatskij, Russia
Kamchatka State Technical University, Petropavlovsk-Kamchatskij, Russia

 

Copyright © 2012 O. V. Mandrikova, Yu. A. Polozov, V. V. Bogdanov, E. A. Zhizhikina et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


O. Mandrikova, Y. Polozov, V. Bogdanov and E. Zhizhikina, "Method of Detection Abnormal Features in Ionosphere Critical Frequency Data on the Basis of Wavelet Transformation and Neural Networks Combination," Journal of Software Engineering and Applications, Vol. 5 No. 12B, 2012, pp. 181-187. doi: 10.4236/jsea.2012.512B035.

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