首页|期刊导航|地球空间信息科学学报(英文版)|An optimized BP neural network for modeling zenith tropospheric delay in the Chinese mainland using coupled particle swarm and genetic algorithm
地球空间信息科学学报(英文版)2025,Vol.28Issue(4):中插25,1927-1942,17.DOI:10.1080/10095020.2024.2392701
An optimized BP neural network for modeling zenith tropospheric delay in the Chinese mainland using coupled particle swarm and genetic algorithm
An optimized BP neural network for modeling zenith tropospheric delay in the Chinese mainland using coupled particle swarm and genetic algorithm
摘要
关键词
Zenith tropospheric delay/PSO algorithm/GABP neural network/ERA5 reanalysis data/GPT3 modelKey words
Zenith tropospheric delay/PSO algorithm/GABP neural network/ERA5 reanalysis data/GPT3 model引用本文复制引用
Liangke Huang,Haohang Bi,Hongxing Zhang,Shitai Wang,Fasheng Liao,Lilong Liu,Weiping Jiang..An optimized BP neural network for modeling zenith tropospheric delay in the Chinese mainland using coupled particle swarm and genetic algorithm[J].地球空间信息科学学报(英文版),2025,28(4):中插25,1927-1942,17.基金项目
This work is supported by Guangxi Natural Science Foundation of China[grant numbers 2023GXNSFAA026434 and 2023GXNSFAA026355] ()
State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences[grant num-ber SKLGED2023-3-1] ()
Innovation Project of Guangxi Graduate Education[grant number YCSW2023338] ()
and the"Ba Gui Scholars"program of the provincial govern-ment of Guangxi. ()