%0 Journal Article
%T Application of Back-Propagation Neural Network in Precipitation Estimation with Doppler Radar<br>BP神经网络在多普勒雷达降水量的估测中的应用
%A SHAO Yue-hong
%A ZHANG Wan-chang
%A LIU Yong-he
%A SUN Cheng-wu
%A FU Cheng-yu
%A <br>邵月红
%A 张万昌
%A 刘永和
%A 孙成武
%A 傅成玉
%J 高原气象
%D 2009
%I 
%X By means of the Doppler radar measurements and automatic precipitation station data collected in the Linyi region during four precipitation processes of 2005.The Back-Propagation Neural Network(BPNN) was used to estimate the rainfall.In order to contrast with neural network,the improved window probability matching method(WPMM)was employed to determine the relationship between radar echo intensity (Z) and precipitation intensity(R),and the Z-R relation was further used to estimated the rainfall.Based on anal...
%K Back-propagation neural network
%K Doppler radar
%K Rainfall estimation<br>BP神经网络
%K 多普勒雷达
%K 降水估测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=28A2F569B2458C17&jid=FCD959CAD9EF92C38C4323B51D54F3DB&aid=93ED5E86C2010863E63591CAFB0DB924&yid=DE12191FBD62783C&vid=D3E34374A0D77D7F&iid=E158A972A605785F&sid=5EB19D41D7A73119&eid=970314C3B74F6C4D&journal_id=1000-0534&journal_name=高原气象&referenced_num=2&reference_num=20