Dynamic Butterfly Optimization Algorithm for Feature Selection

Feature selection represents an essential pre-processing step for a wide range of Machine Learning approaches. Datasets typically contain irrelevant features that may negatively affect the classifier performance. A feature selector can reduce the number of these features and maximise the classifier...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Mohammad Tubishat, Mohammed Alswaitti, Seyedali Mirjalili, Mohammed Ali Al-Garadi, Ma'en Tayseer Alrashdan, Toqir A. Rana
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2020-01-01
主題:	Butterfly optimization algorithm feature selection local search algorithm based on mutation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9239279/