Hybrid NSGA-II Optimization for Improving the Three-Term BP Network for Multiclass Classification Problems
Recently, hybrid algorithms have received considerable attention from a number of researchers. This paper presents a hybrid of the multiobjective evolutionary algorithm to gain a better accuracy of the fi nal solutions. The aim of using the hybrid algorithm is to improve the multiobjective evolution...
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主要な著者: | Ibrahim, Ashraf Osman, Shamsuddin, Siti Mariyam, Qasem, Sultan Noman |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Universiti Utara Malaysia Press
2015
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オンライン・アクセス: | https://repo.uum.edu.my/id/eprint/30412/1/JICT%2014%2000%202015%2021-38.pdf https://repo.uum.edu.my/id/eprint/30412/ https://e-journal.uum.edu.my/index.php/jict/article/view/8154 |
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