A penalty-function approach for pruning feedforward neural networks

Neural Computation

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Bibliographic Details
Main Author:	Setiono, R.
Other Authors:	INFORMATION SYSTEMS & COMPUTER SCIENCE
Format:	Article
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/99162
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-99162
record_format	dspace
spelling	sg-nus-scholar.10635-991622015-01-31T18:58:36Z A penalty-function approach for pruning feedforward neural networks Setiono, R. INFORMATION SYSTEMS & COMPUTER SCIENCE Neural Computation 9 1 185-204 2014-10-27T06:01:17Z 2014-10-27T06:01:17Z 1997-01-01 Article Setiono, R. (1997-01-01). A penalty-function approach for pruning feedforward neural networks. Neural Computation 9 (1) : 185-204. ScholarBank@NUS Repository. 08997667 http://scholarbank.nus.edu.sg/handle/10635/99162 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
description	Neural Computation
author2	INFORMATION SYSTEMS & COMPUTER SCIENCE
author_facet	INFORMATION SYSTEMS & COMPUTER SCIENCE Setiono, R.
format	Article
author	Setiono, R.
spellingShingle	Setiono, R. A penalty-function approach for pruning feedforward neural networks
author_sort	Setiono, R.
title	A penalty-function approach for pruning feedforward neural networks
title_short	A penalty-function approach for pruning feedforward neural networks
title_full	A penalty-function approach for pruning feedforward neural networks
title_fullStr	A penalty-function approach for pruning feedforward neural networks
title_full_unstemmed	A penalty-function approach for pruning feedforward neural networks
title_sort	penalty-function approach for pruning feedforward neural networks
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/99162
_version_	1681092139754192896

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