%0 Journal Article
%T Intelligent method for BOF endpoint phosphorus estimation<br>转炉炼钢终点磷的智能预报
%A XIE Shu-ming
%A TAO Jun
%A CHAI Tian-you
%A <br>谢书明
%A 陶 钧
%A 柴天佑
%J 控制理论与应用
%D 2003
%I 
%X An intelligent model was introduced to estimate the bath endpoint phosphorus content for basic oxygen furnace (BOF) steelmaking. In the model, the fuzzy inference and genetic algorithms (GA) were used. The BOF endpoint P] content was estimated by fuzzy inference model, and the parameters for the fuzzy model were optimized by genetic algorithms. For improving the precision of the endpoint estimation, an artificial neural network (ANN) was designed to compensate for the fuzzy inference error. And the simulation results show the validity of this method.
%K BOF steelmaking
%K fuzzy inference model
%K genetic algorithms
%K neural network<br>转炉炼钢
%K 模糊建模
%K 遗传算法
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=EE7FCA750ADF48B6&yid=D43C4A19B2EE3C0A&vid=A04140E723CB732E&iid=E158A972A605785F&sid=AF4A4411BB448A36&eid=8966A0F1B07BE5EE&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=3&reference_num=8