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A hybrid method of artificial neural networks and simulated annealing in monitoring auto-correlated multi-attribute processes
, Article International Journal of Advanced Manufacturing Technology ; Volume 56, Issue 5-8 , 2011 , Pages 777-788 ; 02683768 (ISSN) ; Akbari Nasaji, S ; Sharif University of Technology
Abstract
The quality characteristics of both manufacturing and service industries include not only the variables but the attributes as well. While a substantial research have been performed on auto-correlated variables, little attempt has been fulfilled for auto-correlated attributes. Ignoring the imbedded autocorrelation structure in constructing control charts cause not only the in-control run length to decrease, but also the false alarms to increase. To overcome these shortcomings, in this research, an autoregressive vector first models the autocorrelation structure of the process data. Then, a modified Elman neural network is developed to generate simulated data using the ARTA algorithm. Next, a...
Artificial neural network in applying multi attribute control chart for AR processes
, Article 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, 26 February 2010 through 28 February 2010, Singapore ; Volume 5 , 2010 , Pages 216-220 ; 9781424455850 (ISBN) ; Akbari Nasaji, S ; Sharif University of Technology
2010
Abstract
Quality characteristics are subject of both manufacturing and service industries, which include not only the variables but the attributes as well. In Quality Control area substantial research has been done for Auto-correlated variables; however, no attempt was done for Auto-correlated attributes. Ignoring the autocorrelation structure in constructing control charts cause the in-control run length to decrease, and the false alarms to increase as such. In this article we develop a new methodology based upon the modified Elman neural network capabilities to overcome this problem. Moreover, instead of back propagation, simulated annealing is suggested as an alternative training technique that is...