%0 Journal Article
%T APPLICATION OF RBF NETWORK BASED ON GENETIC ALGORITHM OPTIMIZATION TO ESTABLISH GPS HEIGHT CONVERSION MODEL IN MINING AREA<br>基于遗传算法优化的径向基神经网络在矿区GPS高程转换中的应用
%A Ren Dongfeng
%A Xu Aigong
%A <br>任东风
%A 徐爱功
%J 大地测量与地球动力学
%D 2012
%I 
%X In a mining area,the data of normal height and geodetic height are used to build model with Radial Basis Function(RBF) network based on genetic algorithm optimization.The results show that the model established by RBF network based on genetic algorithm optimization is more appropriate to achieve this transformation.
%K height conversion
%K Radial Basis Function(RBF) network
%K genetic algorithm
%K GPS
%K mining area<br>高程转换
%K 径向基神经网络
%K 遗传算法
%K GPS
%K 矿区
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=21CB0722CA48644F9FC9C7D32FB2FF53&yid=99E9153A83D4CB11&vid=9971A5E270697F23&iid=E158A972A605785F&sid=89F76E117E9BDB76&eid=03F1579EF92A5A32&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=0&reference_num=0