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A study of an improved two-step learning artificial neurel network for imbalanced data set problem

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Main Author: Che Shamsudin, Hasrul
Format: Thesis
Published: 2011
Subjects:
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Online Access:http://eprints.utm.my/id/eprint/31830/
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id my.utm.31830
record_format eprints
spelling my.utm.318302013-06-12T07:50:33Z http://eprints.utm.my/id/eprint/31830/ A study of an improved two-step learning artificial neurel network for imbalanced data set problem Che Shamsudin, Hasrul Unspecified 2011 Thesis NonPeerReviewed Che Shamsudin, Hasrul (2011) A study of an improved two-step learning artificial neurel network for imbalanced data set problem. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Unspecified
spellingShingle Unspecified
Che Shamsudin, Hasrul
A study of an improved two-step learning artificial neurel network for imbalanced data set problem
format Thesis
author Che Shamsudin, Hasrul
author_facet Che Shamsudin, Hasrul
author_sort Che Shamsudin, Hasrul
title A study of an improved two-step learning artificial neurel network for imbalanced data set problem
title_short A study of an improved two-step learning artificial neurel network for imbalanced data set problem
title_full A study of an improved two-step learning artificial neurel network for imbalanced data set problem
title_fullStr A study of an improved two-step learning artificial neurel network for imbalanced data set problem
title_full_unstemmed A study of an improved two-step learning artificial neurel network for imbalanced data set problem
title_sort study of an improved two-step learning artificial neurel network for imbalanced data set problem
publishDate 2011
url http://eprints.utm.my/id/eprint/31830/
_version_ 1643648862057922560
score 13.154949

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