文献类型：会议论文

英文题名：Data mining & its research on cold rolling mills process

作者：Wu, Shengxi[1];Liu, Xinggang[2]

机构：[1]East China Univ Sci & Technol, Sch Informat & Engn, Shanghai 200237, Peoples R China;[2]Northeastern Univ, Sch Informat & Engn, Shenyang 110004, Liaoning, Peoples R China

会议论文集：6th World Congress on Intelligent Control and Automation

会议日期：JUN 21-23, 2006

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：data mining; cold continuous rolling; SLT; SVM

摘要：Mechanism models used in cold continuous rolling mills can reflect the general trend of production process. But the precision of models can't satisfy the more requirements of production quality, variety and performance. In order to improve the effective of rolling models, data mining technology can be used to study and find the valuable information and knowledge, which is the newly item and research direction in rolling process field. At present many cold rolling production lines have finished the basic modification works, can acquire and save amounts of process data from the production spot. Various methods such as SVM are used to study the rolling process by model and data from another direction in the paper. The results show that data mining method can help to find more knowledge to improve the production control.