Binary whale optimization algorithm with logarithmic decreasing time-varying modified sigmoid transfer function for descriptor selection problem
In cheminformatics, choosing the right descriptors is a crucial step in improving predictive models, particularly those that use machine learning algorithms. Recently, researchers in cheminformatics have been lured to swarm intelligence to optimize the process of discovering relevant descriptors in...
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主要な著者: | , , , , |
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フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
2023
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オンライン・アクセス: | http://eprints.utem.edu.my/id/eprint/27879/1/Binary%20whale%20optimization%20algorithm%20with%20logarithmic%20decreasing%20time-varying%20modified%20sigmoid%20transfer%20function%20for%20descriptor%20selection%20problem.pdf http://eprints.utem.edu.my/id/eprint/27879/ https://link.springer.com/chapter/10.1007/978-3-031-27524-1_65 |
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http://eprints.utem.edu.my/id/eprint/27879/1/Binary%20whale%20optimization%20algorithm%20with%20logarithmic%20decreasing%20time-varying%20modified%20sigmoid%20transfer%20function%20for%20descriptor%20selection%20problem.pdfhttp://eprints.utem.edu.my/id/eprint/27879/
https://link.springer.com/chapter/10.1007/978-3-031-27524-1_65