%0 Journal Article
%T Application of Artificial Neural Network(ANN) in Quantitative Precipitation Estimating from GMS Satellite Remote-sensing<br>人工神经网络在卫星遥测定量降雨估算中的应用
%A ZHANG Li
%A |ping
%A HU Jiang
%A |lin
%A DENG Zhong
%A |hua
%A XIA Jun
%A <br>张利平
%A 胡江林
%A 邓中华
%A 夏军
%J 系统工程理论与实践
%D 2003
%I 
%X Quantitative precipitation forecasting is an importat basis for optimal control managements and flood protection of all govements. After having analyzed the GMS satellite remote\|sensing preciptation and ANN, this study provides input\|output simulation and estimating of preciptation based on the three\|layer feed\|forward ANN model according to the GMS satellite data.The results of the application show that it is effective.
%K artificial neural network(ANN)
%K back\|propagation algorithm
%K GMS satellite
%K quantitative precipitation estimating<br>人工神经网络
%K BP算法
%K GMS卫星
%K 定量降雨估算
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=6B8D523FB7B7C7B0&yid=D43C4A19B2EE3C0A&vid=EA389574707BDED3&iid=CA4FD0336C81A37A&sid=12DC19455C3A2FA8&eid=E22B6B8FE86DD8F9&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=10