資料來源: Google Book
AI for physics[electronic resource]
- 作者: Knecht, Volker.
- 出版: Boca Raton, FL : CRC Press 2023.
- 版本: 1st ed.
- 稽核項: 1 online resource.
- 叢書名: AI for everything series
- 標題: Physics Data processing. , Machine learning. , Physics , Data processing.
- ISBN: 1003245188 , 9781003245186
- ISBN: 9781032151694 , 9781032156552
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index.
- 摘要: "Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.taylorfrancis.com/books/9781003245186
- 系統號: 005338692
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective applications in physics. It then explores the use of ML across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything. The book covers such applications as the search for new particles and the detection of gravitational waves from the merging of black holes, and concludes by discussing what the future may hold.
來源: Google Book
來源: Google Book
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