机读格式显示(MARC)
- 000 02790cam a2200337 i 4500
- 008 220322s2023 flua b 001 0 eng
- 020 __ |a 9781032272252 |q hardback
- 020 __ |a 9781032272269 |q paperback
- 020 __ |z 9781003291916 |q ebook
- 040 __ |a DLC |b eng |e rda |c DLC
- 050 00 |a Q342 |b .M38 2023
- 082 00 |a 006.3 |2 23/eng20220525
- 245 00 |a Mathematical modeling for intelligent systems : |b theory, methods, and simulation / |c edited by Mukesh Kumar Awasthi, Babasaheb Bhimrao Ambedkar University, India, Ravi Tomar, University of Petroleum & Energy Studies, India, Maanak Gupta, Tennessee Tech University, USA.
- 260 __ |a Boca Raton : |b C&H/CRC Press, |c 2023.
- 300 __ |a xii, 246 pages : |b illustrations ; |c 26 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "Mathematical Modeling for Intelligent Systems: Theory, Methods and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft computing techniques, the book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. The book offers a well-balanced mathematical analysis of modelling physical systems. Summarizes basic principles in differential geometry and convex analysis as needed. The book covers a wide range of industrial and social applications, and bridges the gap between core theory and costly experiments through simulations and modelling. The focus of the book is manifold ranging from stability of fluid flows, nano fluids, drug delivery, and security of image data to Pandemic modeling etc. The book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics and statistics. Researchers and professionals will also find this book useful"-- |c Provided by publisher.
- 650 _0 |a Computational intelligence.
- 650 _0 |a Artificial intelligence |x Mathematics.
- 650 _0 |a Mathematical models.
- 700 1_ |a Awasthi, Mukesh Kumar, |e editor.
- 700 1_ |a Tomar, Ravi, |e editor.
- 700 1_ |a Gupta, Maanak, |d 1989- |e editor.