Application of artificial neural networks in linear profile monitoring

Hosseinifard, S, Abdollahian, M and Zeephongsekul, P 2011, 'Application of artificial neural networks in linear profile monitoring', Expert Systems with Applications, vol. 38, no. 5, pp. 4920-4928.


Document type: Journal Article
Collection: Journal Articles

Title Application of artificial neural networks in linear profile monitoring
Author(s) Hosseinifard, S
Abdollahian, M
Zeephongsekul, P
Year 2011
Journal name Expert Systems with Applications
Volume number 38
Issue number 5
Start page 4920
End page 4928
Total pages 8
Publisher Pergamon
Abstract In many quality control applications the quality of process or product is characterized and summarized 16 by a relation (profile) between a response variable and one or more explanatory variables. Such profiles 17 can be modeled using linear or nonlinear regression models. In this paper we use artificial neural net- 18 works to detect and classify the shifts in linear profiles. Three monitoring methods based on artificial 19 neural networks are developed to monitor linear profiles. Their efficacies are assessed using average 20 run length criterion.
Subject Applied Statistics
Keyword(s) Statistical quality control
Linear profile
Neural networks
Linear regression
DOI - identifier 10.1016/j.eswa.2010.09.160
Copyright notice © 2010 Elsevier Ltd.
ISSN 0957-4174
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 16 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 20 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 206 Abstract Views  -  Detailed Statistics
Created: Wed, 17 Nov 2010, 16:09:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us