NDLI: Grey Neural Network And Its Application In MCMQC

Content Provider	IEEE Xplore Digital Library
Author	Shuhai Fan Tianyuan Xiao Yexiang Fang Wenping Li Linxuan Zhang
Copyright Year	2007
Description	Author affiliation: Nanjing Univ. of Technol., Nanjing (Shuhai Fan)
Abstract	The biggest problem in MCMQC (mass customization manufacturing quality control) is the lack of quality data. It results in the difficulty to predict quality defects. To solve the problem, we can make use of a new theory (the grey theory). In grey theory, grey means the lack of information and the bodies of information are considered as hierarchical, poly-dimensional and time-variant. Based on grey system, we studied the model building methods of it. To simplified the computation, the author also gave out three simplified model building methods (crosswise modeling method, lengthwise modeling method and hybrid modeling method), which can be intimated into model building of neural network. Finally, the author gave out an example for a typical grey BP neural network in which the crosswise modeling method was used and applied to mass customization manufacturing quality control.
Starting Page	403
Ending Page	407
File Size	292942
Page Count	5
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.410
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Concurrent computing Mass customization Neural networks Quality control Predictive models Control systems Cognition Computer networks Agricultural engineering Virtual manufacturing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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