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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Bibliographic Details
Main Authors: Pham, D.T, Mahmuddin, Massudi, Otri, S., Al-Jabbouli, H.
Format: Conference or Workshop Item
Language:English
Published: 2007
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