An attempt to study long-term variation of sporadic E layers using neural networks-Reference-Cited by-同舟云学术

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An attempt to study long-term variation of sporadic E layers using neural networks

Published:2011-05 Issue:9 Volume:47 Page:1585-1589
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Zuo Xiaomin,Wan Weixing,Xia Chunliang,Zheng Anshou

Funder

National Natural Science Foundation of China

Special Fund for Basic Scientific Research of Central Colleges, China University of Geosciences

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference17 articles.

1. Forecasting of ionosphere critical frequency using neural networks;Altiany;Geophys. Res. Lett.,1997

2. Ionospheric sporadic-E parameters: long-term trends;Baggaley;Science,1984

3. Variations in frequency of occurrence of sporadic E, 1949–1959;Chadwick,1962

4. The correlation between the occurrence of sporadic E and the horizontal component of the earth’s magnetic field;Heisler;J. Atmos. Terr. Phys.,1964

5. Sporadic-E formation by wind shear, comparison between observation and theory;Kato;Radio Sci.,1972

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