机读格式显示(MARC)
- 000 01964nam a2200397 i 4500
- 008 210928s2022 flua b 001 0 eng d
- 020 __ |a 9780367765279 |q (hardback)
- 020 __ |a 0367765276 |q (hardback)
- 020 __ |a 9780367765286 |q (paperback)
- 020 __ |a 0367765284 |q (paperback)
- 040 __ |a TJDX |b eng |c TJDX |e rda
- 050 00 |a TA483 |b .J48 2022
- 082 00 |a 620.1/6 |2 23/eng/20211117
- 099 __ |a CAL 022022067061
- 100 1_ |a Jha, Rajesh, |e author.
- 245 10 |a Artificial intelligence-aided materials design : |b AI-algorithms and case studies on alloys and metallurgical processes / |c Rajesh Jha and Bimal Kumar Jha.
- 260 __ |a Boca Raton, FL : |b CRC Press, |c 2022.
- 300 __ |a xxviii, 333 pages : |b illustrations ; |c 25 cm
- 336 __ |a text |2 rdacontent
- 337 __ |a unmediated |2 rdamedia
- 338 __ |a volume |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "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"-- |c Provided by publisher.
- 650 _0 |a Metallurgy |x Data processing.
- 650 _0 |a Alloys |x Data processing.
- 650 _0 |a Artificial intelligence |x Industrial applications.
- 700 1_ |a Jha, B. K. |q (Bimal K.), |e author.