区域对流层延迟改正模型研究  

Research on the Model of Regional Troposphere Delay Correction

作　　者：孙洪飞 

机构地区：[1]江苏省南京工程高等职业学校,南京210000

出　　处：《价值工程》2017年第15期227-229,共3页Value Engineering

摘　　要：本文利用探空数据和CORS基站观测数据,提出了一种BP神经网络的与Hopfield模型结合,得到对流层延迟融合模型HBPF。将所建融合模型与GAMIT解算结果进行对比,证明HBPF模型是可靠的,而且是高精度的。In this paper, a model combining BP neural network and Hopfield is proposed to obtain the tropospheric delay fusion model HBPF by using sounding data and CORS base station observation data. By comparing the results of the fusion model with GAMIT, it shows that the HBPF model is reliable and highly accurate.

关 键 词：对流层延迟 HOPFIELD模型 BP神经网络 融合模型 

分 类 号：P228.4[天文地球—大地测量学与测量工程]