Mathematical Modeling for Intelligent Systems

<p>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.</p><p>Key Features:</p><p>• Offers a well-balanced mathematical analysis of modeling physical systems</p><p>• Summarizes basic principles in differential geometry and convex analysis as needed</p><p>• Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling</p><p>• Focuses on manifold ranging from stability of fluid flows nanofluids drug delivery and security of image data to pandemic modeling etc.</p><p>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.</p>