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Journals
Artificial Satellites
Volume 50 (2015): Issue 1 (March 2015)
Open Access
Extreme Learning Machine for the Predictions of Length of Day
Lei Yu
Lei Yu
,
Danning Zhao
Danning Zhao
and
Hongbing Cai
Hongbing Cai
| Mar 01, 2015
Artificial Satellites
Volume 50 (2015): Issue 1 (March 2015)
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Published Online:
Mar 01, 2015
Page range:
19 - 33
Received:
Nov 14, 2014
Accepted:
Feb 27, 2015
DOI:
https://doi.org/10.1515/arsa-2015-0002
Keywords
Earth orientation parameters (EOP)
,
length of day (LOD)
,
predictions
,
artificial neural networks (ANN)
,
extreme learning machine (ELM)
© 2015 Artificial Satellites
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Lei Yu
National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China
Key Laboratory of Primary Time and Frequency Standards, Chinese Academy of Sciences, Xi'an 710600, China
University of Chinese Academy of Sciences, Beijing 100049, China
Danning Zhao
National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China
University of Chinese Academy of Sciences, Beijing 100049, China
Hongbing Cai
National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China
Key Laboratory of Primary Time and Frequency Standards, Chinese Academy of Sciences, Xi'an 710600, China