%0 Journal Article
%T STUDY ON PREDICTION OF ZENITH TROPOSPHERIC DELAY BY USE OF BP NEURAL NETWORK<br>基于BP神经网络的对流层延迟预测研究
%A Wang Yong
%A Zhang Lihui
%A Yang Jing
%A <br>王勇
%A 张立辉
%A 杨晶
%J 大地测量与地球动力学
%D 2011
%I 
%X BP neural network technology improved according to Levenberg-Marquart theory was used for GPS tropospheric delay prediction with the data of Southern California Integrated GPS Network.It is shown that the deviations between the predicted value of 76% GPS Stations and the actual value are less than 3cm.The accuracy of the prediction achieves centimeter level,at some sites amounted to millimeters.Unreasonabl spatial location of the site and site elevation different to the surrounding sites of training samples...
%K BP neural network
%K tropospheric delay
%K GPS
%K Southern California Integrated GPS Network(SCIGN)
%K prediction<br>BP神经网络
%K 对流层延迟
%K GPS
%K 南加州GPS网
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=51EFF72981B40E226404B253A7195578&yid=9377ED8094509821&vid=4AD960B5AD2D111A&iid=38B194292C032A66&sid=03A030BB0C519C60&eid=205BE674D84A456D&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=0&reference_num=10