Extraction of rules from artificial neural networks for nonlinear regression
10.1109/TNN.2002.1000125
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sg-nus-scholar.10635-429072023-10-25T20:56:00Z Extraction of rules from artificial neural networks for nonlinear regression Setiono, R. Leow, W.K. Zurada, J.M. COMPUTER SCIENCE INFORMATION SYSTEMS Network pruning Regression Rule extraction 10.1109/TNN.2002.1000125 IEEE Transactions on Neural Networks 13 3 564-577 ITNNE 2013-07-15T05:25:33Z 2013-07-15T05:25:33Z 2002 Article Setiono, R., Leow, W.K., Zurada, J.M. (2002). Extraction of rules from artificial neural networks for nonlinear regression. IEEE Transactions on Neural Networks 13 (3) : 564-577. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2002.1000125 10459227 http://scholarbank.nus.edu.sg/handle/10635/42907 000175514000006 Scopus |
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National University of Singapore |
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NUS Library |
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Asia |
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Singapore Singapore |
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ScholarBank@NUS |
| topic |
Network pruning Regression Rule extraction |
| spellingShingle |
Network pruning Regression Rule extraction Setiono, R. Leow, W.K. Zurada, J.M. Extraction of rules from artificial neural networks for nonlinear regression |
| description |
10.1109/TNN.2002.1000125 |
| author2 |
COMPUTER SCIENCE |
| author_facet |
COMPUTER SCIENCE Setiono, R. Leow, W.K. Zurada, J.M. |
| format |
Article |
| author |
Setiono, R. Leow, W.K. Zurada, J.M. |
| author_sort |
Setiono, R. |
| title |
Extraction of rules from artificial neural networks for nonlinear regression |
| title_short |
Extraction of rules from artificial neural networks for nonlinear regression |
| title_full |
Extraction of rules from artificial neural networks for nonlinear regression |
| title_fullStr |
Extraction of rules from artificial neural networks for nonlinear regression |
| title_full_unstemmed |
Extraction of rules from artificial neural networks for nonlinear regression |
| title_sort |
extraction of rules from artificial neural networks for nonlinear regression |
| publishDate |
2013 |
| url |
http://scholarbank.nus.edu.sg/handle/10635/42907 |
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1781411187807748096 |