大地测量与地球动力学(英文版)2025,Vol.16Issue(4):403-412,10.DOI:10.1016/j.geog.2024.11.003
A zenith wet delay improved model in China based on GPT3 and random forest
A zenith wet delay improved model in China based on GPT3 and random forest
摘要
关键词
Zenith wet delay/CRZWD model/GPT3/Random forest/Back propagation neural networkKey words
Zenith wet delay/CRZWD model/GPT3/Random forest/Back propagation neural network引用本文复制引用
Shaoni Chen,Chunhua Jiang,Xiang Gao,Huizhong Zhu,Shuaimin Wang,Guangsheng Liu..A zenith wet delay improved model in China based on GPT3 and random forest[J].大地测量与地球动力学(英文版),2025,16(4):403-412,10.基金项目
The authors wish to express their gratitude to the IGRA for furnishing the radiosonde data and the research team is appreci-ated for providing open codes of GPT3.This work is supported by the National Natural Science Foundation of China[42030109,42074012],the Scientific Study Project for institutes of Higher Learning,Ministry of Education,Liaoning Province[LJKMZ20220673],the Project supported by the State Key Labora-tory of Geodesy and Earths' Dynamics,Innovation Academy for Precision Measurement Science and Technology[SKLGED2023-3-2],Liaoning Revitalization Talent Program[XLYC2203162],Natural Science Foundation of Hebei Province in China[D2023402024]. ()