Extracting M-of-N rules from trained neural networks
10.1109/72.839020
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sg-nus-scholar.10635-423742023-10-29T20:03:57Z Extracting M-of-N rules from trained neural networks Setiono, R. INFORMATION SYSTEMS 10.1109/72.839020 IEEE Transactions on Neural Networks 11 2 512-519 ITNNE 2013-07-11T10:07:37Z 2013-07-11T10:07:37Z 2000 Article Setiono, R. (2000). Extracting M-of-N rules from trained neural networks. IEEE Transactions on Neural Networks 11 (2) : 512-519. ScholarBank@NUS Repository. https://doi.org/10.1109/72.839020 10459227 http://scholarbank.nus.edu.sg/handle/10635/42374 000086706600022 Scopus |
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National University of Singapore |
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NUS Library |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| description |
10.1109/72.839020 |
| author2 |
INFORMATION SYSTEMS |
| author_facet |
INFORMATION SYSTEMS Setiono, R. |
| format |
Article |
| author |
Setiono, R. |
| spellingShingle |
Setiono, R. Extracting M-of-N rules from trained neural networks |
| author_sort |
Setiono, R. |
| title |
Extracting M-of-N rules from trained neural networks |
| title_short |
Extracting M-of-N rules from trained neural networks |
| title_full |
Extracting M-of-N rules from trained neural networks |
| title_fullStr |
Extracting M-of-N rules from trained neural networks |
| title_full_unstemmed |
Extracting M-of-N rules from trained neural networks |
| title_sort |
extracting m-of-n rules from trained neural networks |
| publishDate |
2013 |
| url |
http://scholarbank.nus.edu.sg/handle/10635/42374 |
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1781411153081008128 |