Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception

10.1109/TSMCC.2004.843201

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Bibliographic Details
Main Authors:	Setiono, R., Pan, S.L., Hsieh, M.-H., Azcarraga, A.P.
Other Authors:	INFORMATION SYSTEMS
Format:	Article
Published:	2013
Subjects:	Brand image perceptions Core and noncore knowledge M-of-N rules Neural networks Rule extraction
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/42399
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-42399
record_format	dspace
spelling	sg-nus-scholar.10635-423992023-10-26T20:38:30Z Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception Setiono, R. Pan, S.L. Hsieh, M.-H. Azcarraga, A.P. INFORMATION SYSTEMS Brand image perceptions Core and noncore knowledge M-of-N rules Neural networks Rule extraction 10.1109/TSMCC.2004.843201 IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 35 4 465-475 ITCRF 2013-07-11T10:08:17Z 2013-07-11T10:08:17Z 2005 Article Setiono, R., Pan, S.L., Hsieh, M.-H., Azcarraga, A.P. (2005). Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 35 (4) : 465-475. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCC.2004.843201 10946977 http://scholarbank.nus.edu.sg/handle/10635/42399 000232846700002 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Brand image perceptions Core and noncore knowledge M-of-N rules Neural networks Rule extraction
spellingShingle	Brand image perceptions Core and noncore knowledge M-of-N rules Neural networks Rule extraction Setiono, R. Pan, S.L. Hsieh, M.-H. Azcarraga, A.P. Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception
description	10.1109/TSMCC.2004.843201
author2	INFORMATION SYSTEMS
author_facet	INFORMATION SYSTEMS Setiono, R. Pan, S.L. Hsieh, M.-H. Azcarraga, A.P.
format	Article
author	Setiono, R. Pan, S.L. Hsieh, M.-H. Azcarraga, A.P.
author_sort	Setiono, R.
title	Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception
title_short	Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception
title_full	Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception
title_fullStr	Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception
title_full_unstemmed	Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception
title_sort	separating core and noncore knowledge: an application of neural network rule extraction to a cross-national study of brand image perception
publishDate	2013
url	http://scholarbank.nus.edu.sg/handle/10635/42399
_version_	1781411157123268608

Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception

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