An approach to generate rules from neural networks for regression problems

10.1016/S0377-2217(02)00792-0

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Main Authors:	Setiono, R., Thong, J.Y.L.
Other Authors:	INFORMATION SYSTEMS
Format:	Article
Published:	2013
Subjects:	Curve fitting Knowledge-based systems Machine learning Neural networks Nonlinear regression
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/42479
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-42479
record_format	dspace
spelling	sg-nus-scholar.10635-424792024-11-13T03:34:35Z An approach to generate rules from neural networks for regression problems Setiono, R. Thong, J.Y.L. INFORMATION SYSTEMS Curve fitting Knowledge-based systems Machine learning Neural networks Nonlinear regression 10.1016/S0377-2217(02)00792-0 European Journal of Operational Research 155 1 239-250 EJORD 2013-07-11T10:10:18Z 2013-07-11T10:10:18Z 2004 Article Setiono, R., Thong, J.Y.L. (2004). An approach to generate rules from neural networks for regression problems. European Journal of Operational Research 155 (1) : 239-250. ScholarBank@NUS Repository. https://doi.org/10.1016/S0377-2217(02)00792-0 03772217 http://scholarbank.nus.edu.sg/handle/10635/42479 000188508900015 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Curve fitting Knowledge-based systems Machine learning Neural networks Nonlinear regression
spellingShingle	Curve fitting Knowledge-based systems Machine learning Neural networks Nonlinear regression Setiono, R. Thong, J.Y.L. An approach to generate rules from neural networks for regression problems
description	10.1016/S0377-2217(02)00792-0
author2	INFORMATION SYSTEMS
author_facet	INFORMATION SYSTEMS Setiono, R. Thong, J.Y.L.
format	Article
author	Setiono, R. Thong, J.Y.L.
author_sort	Setiono, R.
title	An approach to generate rules from neural networks for regression problems
title_short	An approach to generate rules from neural networks for regression problems
title_full	An approach to generate rules from neural networks for regression problems
title_fullStr	An approach to generate rules from neural networks for regression problems
title_full_unstemmed	An approach to generate rules from neural networks for regression problems
title_sort	approach to generate rules from neural networks for regression problems
publishDate	2013
url	http://scholarbank.nus.edu.sg/handle/10635/42479
_version_	1821195314519867392

An approach to generate rules from neural networks for regression problems

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