Generating rules from trained network using fast pruning

Proceedings of the International Joint Conference on Neural Networks

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Bibliographic Details
Main Authors:	Setiono, Rudy, Leow, Wee Kheng
Other Authors:	COMPUTER SCIENCE
Format:	Conference or Workshop Item
Published:	2013
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/42915
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-42915
record_format	dspace
spelling	sg-nus-scholar.10635-429152015-03-22T02:34:04Z Generating rules from trained network using fast pruning Setiono, Rudy Leow, Wee Kheng COMPUTER SCIENCE INFORMATION SYSTEMS Proceedings of the International Joint Conference on Neural Networks 6 4095-4098 85OFA 2013-07-15T05:25:45Z 2013-07-15T05:25:45Z 1999 Conference Paper Setiono, Rudy,Leow, Wee Kheng (1999). Generating rules from trained network using fast pruning. Proceedings of the International Joint Conference on Neural Networks 6 : 4095-4098. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/42915 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
description	Proceedings of the International Joint Conference on Neural Networks
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE Setiono, Rudy Leow, Wee Kheng
format	Conference or Workshop Item
author	Setiono, Rudy Leow, Wee Kheng
spellingShingle	Setiono, Rudy Leow, Wee Kheng Generating rules from trained network using fast pruning
author_sort	Setiono, Rudy
title	Generating rules from trained network using fast pruning
title_short	Generating rules from trained network using fast pruning
title_full	Generating rules from trained network using fast pruning
title_fullStr	Generating rules from trained network using fast pruning
title_full_unstemmed	Generating rules from trained network using fast pruning
title_sort	generating rules from trained network using fast pruning
publishDate	2013
url	http://scholarbank.nus.edu.sg/handle/10635/42915
_version_	1681082698432512000

Generating rules from trained network using fast pruning

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