%0 Journal Article
%T Prediction Model of Bayesian Classification Algorithm Applied to Control Sintering Temperature in Rotary Kiln<br>贝叶斯分类算法应用于回转窑烧结温度预测模型
%A DING Gang-Jian
%A ZHANG Xiao-Gang
%A <br>丁钢坚
%A 张小刚
%J 计算机系统应用
%D 2011
%I 
%X The sintering temperature in rotary kiln is usually hard to be stable because of complex industrial environment.In this paper,we present a prediction model based on Bayesian classification algorithm to predict the trend of the amount of feed coal for controlling the sintering temperature in rotary kiln.To avoid the influence of attribute independence assumption of Bayesian classification algorithm,the FastICA algorithm used to find the independent components of the working condition data set in rotary kiln....
%K naive bayes
%K prediction model
%K rotary kiln
%K ICA
%K AdaBoost<br>朴素贝叶斯
%K 预测模型
%K 回转窑
%K ICA
%K AdaBoost
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=48687FEEF97E58616A51DAAD15BF373E&yid=9377ED8094509821&vid=A04140E723CB732E&iid=9CF7A0430CBB2DFD&sid=1E41DF9426604740&eid=38685BC770C663F2&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=10