English | 2023 | ISBN: ‎ 1032272252 | 259 pages | True PDF EPUB | 18.44 MB

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, this 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. This book demonstrates concepts through simulation examples and practical expental results.

Key Features:

Offers a well-balanced mathematical analysis of modeling physical systems

Summarizes basic principles in differential geometry and convex analysis as needed

Covers a wide range of industrial and social applications and bridges the gap between core theory and costly expents through simulations and modeling

Focuses on manifold rag from stability of fluid flows, nanofluids, drug delivery, and security of image data to pand modeling, etc.

This 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.



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