%0 Journal Article
%T APPLICATION OF BP NEURAL NETWORK BASED ON PRINCIPAL COMPONENT ANALYSIS IN DEFORMATION FORECASTING<br>基于主成分分析的BP神经网络在形变预测中的应用
%A Chen Xingquan
%A Wang Jiexian
%A Gu Chuan
%A <br>陈兴权
%A 王解先
%A 谷 川
%J 大地测量与地球动力学
%D 2008
%I 
%X In order to improve deformation forecasting precision,application of principal component analysis and improved BP neural network in deformation monitoring is proposed.For the verification if the new method can enhance the precision and reliability of forecasted data,the proposed algorithm is programmed and verified by use of measured data.The results show that compared with other methods,the improved BP neural network based on principal component analysis can achieve better foresting results.
%K deformation
%K principal component analysis
%K neural network
%K forecasting
%K deformation monitoring<br>形变
%K 主成分分析
%K 神经网络
%K 预测
%K 形变监测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=DA72A78627FE64EAA572951EA05D274A&jid=73A1A428591E600EF664B596512A2997&aid=B5A0082D786BAA3909DF20773CB003F3&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=AA76E167F386B6B3&eid=228A710F49B6CE58&journal_id=1671-5942&journal_name=大地测量与地球动力学&referenced_num=0&reference_num=9