Symbolic rule extraction from neural networks An application to identifying organizations adopting IT

Information and Management

Saved in:
Bibliographic Details
Main Authors: Setiono, R., Thong, J.Y.L., Yap, C.-S.
Other Authors: INFORMATION SYSTEMS & COMPUTER SCIENCE
Format: Article
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/99424
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-99424
record_format dspace
spelling sg-nus-scholar.10635-994242015-02-12T00:24:23Z Symbolic rule extraction from neural networks An application to identifying organizations adopting IT Setiono, R. Thong, J.Y.L. Yap, C.-S. INFORMATION SYSTEMS & COMPUTER SCIENCE Backpropagation algorithm IT adoption Neural networks Symbolic rules Information and Management 34 2 91-101 IMAND 2014-10-27T06:04:00Z 2014-10-27T06:04:00Z 1998-09-10 Article Setiono, R.,Thong, J.Y.L.,Yap, C.-S. (1998-09-10). Symbolic rule extraction from neural networks An application to identifying organizations adopting IT. Information and Management 34 (2) : 91-101. ScholarBank@NUS Repository. 03787206 http://scholarbank.nus.edu.sg/handle/10635/99424 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Backpropagation algorithm
IT adoption
Neural networks
Symbolic rules
spellingShingle Backpropagation algorithm
IT adoption
Neural networks
Symbolic rules
Setiono, R.
Thong, J.Y.L.
Yap, C.-S.
Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
description Information and Management
author2 INFORMATION SYSTEMS & COMPUTER SCIENCE
author_facet INFORMATION SYSTEMS & COMPUTER SCIENCE
Setiono, R.
Thong, J.Y.L.
Yap, C.-S.
format Article
author Setiono, R.
Thong, J.Y.L.
Yap, C.-S.
author_sort Setiono, R.
title Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
title_short Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
title_full Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
title_fullStr Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
title_full_unstemmed Symbolic rule extraction from neural networks An application to identifying organizations adopting IT
title_sort symbolic rule extraction from neural networks an application to identifying organizations adopting it
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/99424
_version_ 1681092187488518144