%0 Journal Article
%T CONVERSION OF GPS HEIGHT BASED ON STANDARDIZATION MOMENTUM BP NEURAL NETWORK<br>基于标准化动量BP神经网络的GPS高程转换
%A Zhu Weidong
%A Li Quanhai
%A <br>朱卫东
%A 李全海
%J 大地测量与地球动力学
%D 2010
%I 
%X When solving fitting elevation by using common momentum BP neural network algorithm there will be difference between the training samples in dimension.In order to improve the stability we standardized the samples and obtained the ideal results.It is shown that from the comparison among the results with the calculation methods by surface fitting,quadric surface fitting,and other neural network methods,the accuracy by using the standardization of BP neural network algorithm for elevation fitting is more relia...
%K momentum backpropagation neural network
%K geodetic height
%K normal height
%K elevation anomaly
%K standardization<br>动量BP神经网络
%K 大地高
%K 正常高
%K 高程异常
%K 标准化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=6CBCA74EA8971BA1A560C63345D61287&yid=140ECF96957D60B2&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=AE09EACBCD1B2A13&eid=F122871CC7EC92DC&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=1&reference_num=13