%0 Journal Article
%T Predicting the Productivity of a Cold Rolling Sizing Unit by the RBF Neural Network<br>用RBF神经网络预报冷轧精整机组的成材率
%A Wang Xudong
%A Li Hao
%A Shao Huihe
%A <br>王旭东
%A 李颢
%A 邵惠鹤
%J 系统工程理论与实践
%D 1997
%I 
%X First in this paper, the goods delivery prediction system of a steel factory is analyzed. Then a model for predicting the productivity of a cold rolling sizing unit is designed through the improved training algorithm of the radial basis function neural network.Results of simulation is very good. Finally in this paper, a method for solving the possible problem is put forward.
%K goods delivery predicting
%K sizing unit
%K RBF neural network<br>发货预报
%K 精整机组
%K RBF神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=4C86C4DBA257DE8C2964D1898D28B88C&yid=5370399DC954B911&vid=BCA2697F357F2001&iid=708DD6B15D2464E8&sid=06EA2770E96C5402&eid=117F81797AB182FC&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=5&reference_num=0