太陽系における小天体のための機械学習
Machine Learning for Small Bodies in the Solar System
Carruba, Valerio (EDT)
Smirnov, Evgeny (EDT)
Oszkiewicz, Dagmara (EDT)
- 出版社:Elsevier - Health Sciences Division
- 出版年月:2024年 11月
- ISBN:9780443247705
- 装丁:PAP
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装丁について
- 言語:ENG
- 巻数・ページ数:328 p.
- 分類: 天文学
- DDC分類:523.20285631
- 内容紹介:
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This book provides the latest developments and methods in applications of Machine Learning (ML) and Artificial Intelligence (AI) to different aspects of Solar System bodies, including dynamics, physical properties, and detection algorithms. Offering a practical approach, the book encompasses a wide range of topics, providing both readers with essential tools and insights for use in researching asteroids, comets, moons, and Trans-Neptunian objects.