Introducing atmospheric angular momentum into prediction of length of day change by generalized regression neural network model-Reference-Cited by-同舟云学术

Introducing atmospheric angular momentum into prediction of length of day change by generalized regression neural network model

Published:2014-04 Issue:4 Volume:21 Page:1396-1401
ISSN:2095-2899
Container-title:Journal of Central South University
language:en
Short-container-title:J. Cent. South Univ.

Author:

Wang Qi-jie,Du Ya-nan,Liu Jian

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,General Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11771-014-2077-2.pdf

Reference16 articles.

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4. WANG Qi-jie, LIAO De-chun, ZHOU Yong-hong. Real-time rapid prediction of variations of Earth’s rotational rate [J]. Chinese Science Bulletin, 2008, 53(7): 969–973.

5. AKYILMAZ O, KUTTERER H. Prediction of earth rotation parameters by fuzzy inference systems [J]. Journal of Geodesy, 2004, 78: 82–93.

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