%0 Journal Article
%T Research on Soft Sensor Model for Slab Temperature in Reheating Furnace<br>加热炉钢坯温度软测量模型研究
%A WANG Xi-Huai
%A LI Shao-Yuan
%A XI Yu-Geng
%A <br>王锡淮
%A 李少远
%A 席裕庚
%J 自动化学报
%D 2004
%I 
%X A slab temperature neural network soft sensor model based on fuzzy clusteringis studied.The approach consists of two components:an FCM(Fuzzy C-Means)clustering,which classifies training objects into a couple of clusters,and a distributed RBF(RadialBasis Unction)network,which is used to train each cluster.In the online stage,the valuesof membership are computed using an adaptive fuzzy clustering algorithm for the new object.The proposed approach has been applied to the slab temperature estimation in an actualreheating furnace.Simulations show that the approach is effective.
%K Soft sensors
%K neural network
%K adaptive fuzzy clustering
%K reheating furnace
%K slab temperature<br>软测量
%K 神经网络
%K 自适应模糊聚类
%K 加热炉
%K 钢坯温度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=356EEA6960825682&yid=D0E58B75BFD8E51C&vid=340AC2BF8E7AB4FD&iid=B31275AF3241DB2D&sid=635968EA203846B7&eid=796A97DD793AE4A8&journal_id=0254-4156&journal_name=自动化学报&referenced_num=12&reference_num=6