%0 Journal Article
%T Strip Hot-dip Galvanizing Quality Monitoring Model Based on Neural Network Rule Extraction<br>基于神经网络规则抽取的带钢热镀锌质量监控模型
%A WANG Jian-guo
%A YANG Jian-hong
%A ZHANG Wen-xing
%A XU Jin-wu
%A <br>王建国
%A 阳建宏
%A 张文兴
%A 徐金梧
%J 过程工程学报
%D 2008
%I 
%X To overcome the difficulty of production quality monitoring model based on traditional neural network which is usually used poorly, a strip hot-dip galvanizing quality monitoring model based on neural network rule extraction is proposed. Taking the quality monitoring of zinc coating weight in strip hot-dip galvanizing as the investigated subject, the sample datasets are trained by neural network rule extraction method to obtain the quantitative relationships in the form of knowledge rules among input variab...
%K neural network
%K rule extraction
%K strip hot-dip galvanizing
%K quality monitoring<br>神经网络
%K 规则抽取
%K 带钢热镀锌
%K 质量监控
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=3FCF8B1A330466D5&jid=B9EE12934D19905403D996AE65CEEEED&aid=5016D0CC8C6C10181683F548292089B8&yid=67289AFF6305E306&vid=5D311CA918CA9A03&iid=94C357A881DFC066&sid=158793AD8125C377&eid=6D947E6CDDEFFBDE&journal_id=1009-606X&journal_name=过程工程学报&referenced_num=0&reference_num=14