NDLI: Ensemble ANN-based recognizers to improve classification of X-bar control chart patterns

Content Provider	IEEE Xplore Digital Library
Author	Hassan, A.
Copyright Year	2008
Description	Author affiliation: Dept. of Manuf. & Ind. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia (Hassan, A.)
Abstract	Many of the previous research on the control chart pattern recognition were related to fully developed patterns. However, in practice, the process data will appear as a continuous stream of partially developed patterns. Such developing patterns are difficult to recognize since their structure are normally vague and dynamic. This study investigated the merit of a generalized single recognizer (all-class-one-network, ACON), a committee of specialized recognizers (one-class-one network, OCON) and the ensemble of ACON and OCON recognizers. These recognizers were embedded into a monitoring framework to enable on-line recognition. The performance of the schemes was evaluated based on percentage correct classification. The findings suggest that the ensemble of ACON and OCON recognizers with simple summation could significantly improve its discrimination capability. It is concluded that the strategy to configure and consolidate multiple recognizers is very important to achieve good classification performance.
Starting Page	1996
Ending Page	2000
File Size	547568
Page Count	5
File Format	PDF
ISBN	9781424426294
DOI	10.1109/IEEM.2008.4738221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers control chart Process control Artificial neural networks Industrial engineering ensemble recognizers Pattern recognition Character recognition Mechanical engineering statistical process control Multi-layer neural network Control charts Manufacturing pattern recognition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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