A New Global ZTD Forecast Model Based on Improved LSTM Neural Network-Reference-Cited by-同舟云学术

A New Global ZTD Forecast Model Based on Improved LSTM Neural Network

Published:2024 Issue: Volume:17 Page:9606-9614
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

He Lin¹^ORCID,Yao Yibin¹^ORCID,Xu Chaoqian²^ORCID,Zhang Huan³^ORCID,Tang Feifei⁴,Ji Changquan⁴,Liu Zhuoya⁵,Wu Wentan⁶

Affiliation:

1. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

2. Hubei Luojia Laboratory, Wuhan, China

3. China Merchants Chongqing Communications Research and Design Institute, Company Ltd., Chongqing, China

4. Chongqing Jiaotong University, Chongqing, China

5. Electrical Science Institute of Guizhou Power Grid, Company Ltd., CSG, Guiyang, China

6. Natural Resources Archives of Hebei Province, Shijiazuang, China

Funder

Chongqing Natural Science Foundation Innovation and Development Joint

Chongqing Jiaotong University Talent

Special Key Project for Technological Innovation and Application Development in Chongqing

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference49 articles.

1. Real-time PPP results from global orbit and clock corrections;Altiner

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