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商品詳細
Optimization Algorithms in Machine Learning: A Meta-heuristics Perspective.
・ISBN 978-981-9638-51-2 paper EUR 149.99
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| 著者・編者 | Das, Debashish / Sadiq, Ali Safaa / Mirjalili, Seyedali, |
|---|---|
| シリーズ | (Engineering Optimization: Methods and Applications) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 181 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-81117＞ |
解説
This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy, population-based incremental learning, and grey wolf optimizer for training neural networks. Additionally, the book examines the challenges associated with these processes in detail. This volume will serve as a valuable reference for individuals in both academia and industry.