MARC状态：审校 文献类型：西文图书 浏览次数：31
- 题名/责任者:
- Artificial intelligence-aided materials design : AI-algorithms and case studies on alloys and metallurgical processes / Rajesh Jha and Bimal Kumar Jha.
- 出版发行项:
- Boca Raton, FL : CRC Press, 2022.
- ISBN:
- 9780367765279
- ISBN:
- 0367765276
- ISBN:
- 9780367765286
- ISBN:
- 0367765284
- 载体形态项:
- xxviii, 333 pages : illustrations ; 25 cm
- 个人责任者:
- Jha, Rajesh, author.
- 附加个人名称:
- Jha, B. K. (Bimal K.), author.
- 论题主题:
- Metallurgy-Data processing.
- 论题主题:
- Alloys-Data processing.
- 论题主题:
- Artificial intelligence-Industrial applications.
- 中图法分类号:
- TG11-37
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials. Readers new to AI/ML algorithms can use the book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials"--
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