| 書目名稱 | Metaheuristics for Machine Learning |
| 副標(biāo)題 | New Advances and Too |
| 編輯 | Mansour Eddaly,Bassem Jarboui,Patrick Siarry |
| 視頻video | http://file.papertrans.cn/632/631372/631372.mp4 |
| 概述 | Presents latest developments in integrating metaheuristics into machine learning techniques.Illustrates practical applications of metaheuristics in machine learning.Offers an overview of main metaheur |
| 叢書名稱 | Computational Intelligence Methods and Applications |
| 圖書封面 |  |
| 描述 | Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Machine learning; Metaheuristics; Artificial intelligence; Automatic programming; Evolutionary computati |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-3888-7 |
| isbn_softcover | 978-981-19-3890-0 |
| isbn_ebook | 978-981-19-3888-7Series ISSN 2510-1765 Series E-ISSN 2510-1773 |
| issn_series | 2510-1765 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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