by Mukesh Kumar Awasthi, Ravi Tomar, Maanak Gupta
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
experimental 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 experiments through simulations
and modeling
• Focuses on manifold
ranging from stability of fluid flows, nanofluids, drug delivery, and
security of image data to pandemic 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.