Adaptively pattern recognition in statistical process control using fuzzy ART neural network - 文章详情页

作者：

Wang, Min (Wang, Min.) (学者：王民) | Zan, Tao (Zan, Tao.)

收录：

EI Scopus

摘要：

This　paper　presents　a　statistical　Process　Control　(SPC)　method　based　on　Fuzzy　ART　(adaptive　Resonance　Theory)　neural　network.　The　Fuzzy　ART　neural　network　is　applied　to　recognize　the　special　disturbance　of　the　manufacturing　processes　based　on　the　classification　on　the　histograms.　It　is　shown　that　the　Fuzzy　ART　neural　network　can　adaptively　learn　the　features　of　the　histograms　of　the　quality　parameters　in　manufacturing　processes.　As　a　result,　the　special　disturbance　can　be　automatically　detected　when　a　feature　of　the　special　disturbance　starts　to　appear　in　the　histograms.　©　2010　IEEE.

关键词：

Adaptive control systems Arts computing Fuzzy inference Fuzzy logic Fuzzy neural networks Graphic methods Pattern recognition Statistical methods Statistical process control

作者机构：

[ 1 ] [Wang, Min]Key Lab. of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Zan, Tao]Key Lab. of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China

通讯作者信息：

电子邮件地址：

wangm@bjut.edu.cn

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