Application of the bees algorithm to the selection features for manufacturing data
Data with a large number of features tend to be deficient in accuracy and precision. Some of the features may contain irrelevant information caused by data redundancy or by noise. A “wrapper” feature selection method using the Bees Algorithm and Multilayer Perception (MLP) networks is described in...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2007
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Subjects: | |
Online Access: | http://repo.uum.edu.my/152/1/application_of_the_bees_algo_selection.pdf http://repo.uum.edu.my/152/ http://www.bees-algorithm.com/modules/2/0.php |
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Institution: | Universiti Utara Malaysia |
Language: | English |