Mathematical Modeling for Intelligent Systems

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