NDLI: Comparisons of Encoded and Function Approximation Models of Neural Network Control Charts for Pattern Recognition

Content Provider	IEEE Xplore Digital Library
Author	Abdul Sattar Jamali Jinlin Li
Copyright Year	2005
Description	Author affiliation: Sch. of Manage. & Econ., Beijing Inst. of Technol. (Abdul Sattar Jamali; Jinlin Li)
Abstract	Increasing rapid changes and highly precise manufacturing environments require timely monitoring and intervention when deemed necessary. Traditional SPC charting, a popular tool but not effective and an appropriate in the case of automotive manufacturing system. Therefore, in this paper two type of pattern recognition models were suggested and compared each other for neural network control charts. This study was focused on these two models. It was observed that the generalization ability of the encoded model in terms of error percentage, the generalization ability of the function approximation approach was significantly greater for all levels of slopes varied from 0.25 to 1
Starting Page	1
Ending Page	7
File Size	4687809
Page Count	7
File Format	PDF
ISBN	0780394291
DOI	10.1109/INMIC.2005.334385
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-24
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Function approximation Neural networks Control charts Pattern recognition Encoding Manufacturing systems Environmental management Technology management Environmental economics Virtual manufacturing Control Charts Neural Network Pattern Recognition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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