Application of artificial neural networks in linear profile monitoring

Hosseinifard, Seyedehzahra, 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, doi: 10.1016/j.eswa.2010.09.160.

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Title Application of artificial neural networks in linear profile monitoring
Author(s) Hosseinifard, SeyedehzahraORCID iD for Hosseinifard, Seyedehzahra orcid.org/0000-0002-1064-9079
Abdollahian, M
Zeephongsekul, P
Journal name Expert systems with applications
Volume number 38
Issue number 5
Start page 4920
End page 4928
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2011-05-01
ISSN 0957-4174
Keyword(s) Statistical quality control
Linear profile
Neural networks
Linear regression
Summary In many quality control applications the quality of process or product is characterized and summarized by a relation (profile) between a response variable and one or more explanatory variables. Such profiles can be modeled using linear or nonlinear regression models. In this paper we use artificial neural networks to detect and classify the shifts in linear profiles. Three monitoring methods based on artificial neural networks are developed to monitor linear profiles. Their efficacies are assessed using average run length criterion. © 2010 Elsevier Ltd. All rights reserved.
Language eng
DOI 10.1016/j.eswa.2010.09.160
Field of Research 080699 Information Systems not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087303

Document type: Journal Article
Collections: School of Information and Business Analytics
2018 ERA Submission
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