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Improvement of the prediction accuracy of polar motion using empirical mode decomposition

Yu Lei Hongbing Cai Danning Zhao

大地测量与地球动力学（英文版）2017，Vol.8Issue(2)：141-146,6.

Improvement of the prediction accuracy of polar motion using empirical mode decomposition

Yu Lei ¹Hongbing Cai ²Danning Zhao³

作者信息

1. National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China
2. Key Laboratory of Primary Time and Frequency Standards, Chinese Academy of Sciences, Xi'an 710600, China
3. University of Chinese Academy of Sciences, Beijing 100049, China
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摘要

关键词

Polar motion/Prediction model/Empirical mode decomposition (EMD)/Neural networks (NN)/Extreme learning machine (ELM)

Key words

Polar motion/Prediction model/Empirical mode decomposition (EMD)/Neural networks (NN)/Extreme learning machine (ELM)

引用本文复制引用

Yu Lei,Hongbing Cai,Danning Zhao..Improvement of the prediction accuracy of polar motion using empirical mode decomposition[J].大地测量与地球动力学（英文版）,2017,8(2):141-146,6.

基金项目

This work is supported by Chinese Academy of Sciences (No. 201491)"Light of West China"Program (201491). （No. 201491）

大地测量与地球动力学（英文版）

ISSN：1674-9847

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