Soft computing techniques: Theory and application for pattern classification
Master's
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sg-nus-scholar.10635-143792015-01-06T05:30:32Z Soft computing techniques: Theory and application for pattern classification GANESAN SIVAKUMAR ELECTRICAL & COMPUTER ENGINEERING PRAHLAD VADAKKEPAT fuzzy systems, genetic algorithm, rough sets, pattern classification, boosting, iterative rule learning, pittsburgh and michigan approach Master's MASTER OF ENGINEERING 2010-04-08T10:42:35Z 2010-04-08T10:42:35Z 2004-11-30 Thesis GANESAN SIVAKUMAR (2004-11-30). Soft computing techniques: Theory and application for pattern classification. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/14379 NOT_IN_WOS en |
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National University of Singapore |
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NUS Library |
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Singapore |
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ScholarBank@NUS |
language |
English |
topic |
fuzzy systems, genetic algorithm, rough sets, pattern classification, boosting, iterative rule learning, pittsburgh and michigan approach |
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fuzzy systems, genetic algorithm, rough sets, pattern classification, boosting, iterative rule learning, pittsburgh and michigan approach GANESAN SIVAKUMAR Soft computing techniques: Theory and application for pattern classification |
description |
Master's |
author2 |
ELECTRICAL & COMPUTER ENGINEERING |
author_facet |
ELECTRICAL & COMPUTER ENGINEERING GANESAN SIVAKUMAR |
format |
Theses and Dissertations |
author |
GANESAN SIVAKUMAR |
author_sort |
GANESAN SIVAKUMAR |
title |
Soft computing techniques: Theory and application for pattern classification |
title_short |
Soft computing techniques: Theory and application for pattern classification |
title_full |
Soft computing techniques: Theory and application for pattern classification |
title_fullStr |
Soft computing techniques: Theory and application for pattern classification |
title_full_unstemmed |
Soft computing techniques: Theory and application for pattern classification |
title_sort |
soft computing techniques: theory and application for pattern classification |
publishDate |
2010 |
url |
http://scholarbank.nus.edu.sg/handle/10635/14379 |
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1681079017181020160 |