Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation is a comprehensive guide to using mathematical modeling with intelligent techniques in Industry 4.0. It covers various AI techniques, highlights research, and provides simulation examples and practical results for industrial and social applications. Aimed at advanced undergraduates and postgraduate students, researchers, and professionals.

Format: Hardback
Length: 246 pages
Publication date: 20 July 2022
Publisher: Taylor & Francis Ltd

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation is a comprehensive guide that aims to provide a valuable reference for the applications of mathematical modeling using intelligent techniques in diverse industry problems in the era of Industry 4.0. This book offers a thorough introduction to the field of soft-computing techniques, covering a wide range of artificial intelligence methods in a clear and practical style. It highlights current research and applications, addresses challenges encountered in the development of applied systems, and describes various intelligent systems techniques, such as neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. Through simulation examples and practical experimental results, this book demonstrates the concepts and principles involved in modeling physical systems.

Key Features:

Well-Balanced Mathematical Analysis: The book provides a balanced mathematical analysis of modeling physical systems, covering basic principles in differential geometry and convex analysis as needed.

Wide Range of Industrial and Social Applications: The book encompasses a wide range of industrial and social applications, bridging the gap between core theory and costly experiments through simulations and modeling. It focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, among others.

Target Audience: This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals in the fields of intelligent systems, mathematics, and engineering will also find this book useful.

In conclusion, Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation is a comprehensive and valuable resource for anyone interested in applying mathematical modeling using intelligent techniques in industry problems. With its extensive coverage of methods, applications, and practical examples, this book provides a solid foundation for students, researchers, and professionals in the field.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032272252