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|Title:||X̄ control chart pattern identification through efficient off-line neural network training||Authors:||Hwarng, H.Brian
Hubele, Norma Faris
|Issue Date:||1993||Citation:||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|
|Appears in Collections:||Staff Publications|
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