Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/44923
Title: X̄ control chart pattern identification through efficient off-line neural network training
Authors: Hwarng, H.Brian 
Hubele, Norma Faris
Issue Date: 1993
Source: Hwarng, H.Brian,Hubele, Norma Faris (1993). X̄ control chart pattern identification through efficient off-line neural network training. IIE Transactions (Institute of Industrial Engineers) 25 (3) : 27-40. ScholarBank@NUS Repository.
Abstract: Back-propagation pattern recognizers (BPPR) are proposed to identify unnatural pattern exhibited on Shewhart control charts. In this paper an off-line analysis is performed to investigate the training and learning speed of these BPPRs on simulated x data. The best configuration of the network is further tested to demonstrate the classification capability of the proposed BPPR.
Source Title: IIE Transactions (Institute of Industrial Engineers)
URI: http://scholarbank.nus.edu.sg/handle/10635/44923
ISSN: 0740817X
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