东华大学学报（英文版）2006，Vol.23Issue(2)：88-91,4.
Data Mining for Quality Prediction in Textile Engineering
Data Mining for Quality Prediction in Textile Engineering
摘要
Abstract
A data mining method for quality prediction using association rule (DMAR) is presented in this paper.Association rule is used to mine the valuable relations of items among amounts of textile process data for ANN prediction model. DMAR consists of three main steps: setup knowledge data set; data cleaning and converting; find the item set with large supports and generate the expected rules.DMAR effectively improves the precision of prediction in yarn breaking. It rapidly gets rid of the negative influence of training parameters on prediction model. Then more satisfactory quality prediction result can be reached.关键词
Data mining/Association algorithm/ANN/Yarn breaking rateKey words
Data mining/Association algorithm/ANN/Yarn breaking rate分类
轻工纺织引用本文复制引用
YANG Jian-guo,LI Bei-zhi,ZHAO Ya-mei..Data Mining for Quality Prediction in Textile Engineering[J].东华大学学报（英文版）,2006,23(2):88-91,4.基金项目
This project is supported by China National Technology Innovation Plan （）
