Mixed-variable ant colony optimisation algorithm for feature subset selection and tuning support vector machine parameter

This paper presents a hybrid classification algorithm, ACOMV-SVM which is based on ant colony and support vector machine.A new direction for ant colony optimisation is to optimise mixed (discrete and continuous) variables.The optimised variables are then feed into selecting feature subset and tuning...

詳細記述

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書誌詳細
主要な著者: Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana
フォーマット: 論文
出版事項: Inderscience Publishers 2017
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オンライン・アクセス:http://repo.uum.edu.my/21974/
http://doi.org/10.1504/IJBIC.2017.081842
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