%0 Journal Article
%T Converting Furnace Endpoint Prediction Model Based on Neural Network and Adaptive Error Compensation<br>炼铜转炉吹炼终点的神经网络和自适应残差补偿组合预报模型
%A PENG Xiaoqi
%A HU Zhikun
%A MEI Chi
%A HU Jun
%A YAO Junfeng
%A <br>彭小奇
%A 胡志坤
%A 梅 炽
%A 胡 军
%A 姚俊峰
%J 控制理论与应用
%D 2002
%I 
%X It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression. By simulating test, it is proved that the model possesses higher precision and practicability.
%K converting furnace
%K matte converting
%K neural network
%K endpoint prediction<br>转炉
%K 铜锍吹炼
%K 神经网络
%K 终点预报
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=D0B68768A32E13C0&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=CA4FD0336C81A37A&sid=EB552E4CFC85690B&eid=70AC2EF7F2065E09&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=6&reference_num=4