| 書目名稱 | Proceedings of ELM 2022 | | 副標(biāo)題 | Theory, Algorithms a | | 編輯 | Kaj-Mikael Bj?rk | | 視頻video | http://file.papertrans.cn/758/757559/757559.mp4 | | 概述 | Provides recent research on Extreme Learning Machines (ELMs).Contains selected papers from the 12th International Conference on Extreme Learning Machines 2022.Presents theory, algorithms, and applicat | | 叢書名稱 | Proceedings in Adaptation, Learning and Optimization | | 圖書封面 |  | | 描述 | .This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learning models you can find in the machine learning domain. ELM is fast and therefore suitable for many applications (not only in edge computing), and therefore there is a need to gather examples of possible applications. These proceedings, for the ELM 2022 conference, cover several application areas with relevant topics, where ELM can be used and has been used with great success. Here you will find several new areas (gaming, for instance) as well as improved concepts for existing application areas (signature forgery, for instance), where ELM has been implemented. In addition, some method improvements are also covered in this book, more specifically on the topic of 2nd-order Ordinary Differential Equations (ODEs).. | | 出版日期 | Conference proceedings 2024 | | 關(guān)鍵詞 | Intelligent Systems; Extreme Learning Machine; ELM 2022; The International Conference on Extreme Learni | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-55056-0 | | isbn_softcover | 978-3-031-55058-4 | | isbn_ebook | 978-3-031-55056-0Series ISSN 2363-6084 Series E-ISSN 2363-6092 | | issn_series | 2363-6084 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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