Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book 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. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.
Table of Contents
Intelligent Systems. Intelligent Modeling. Intelligent Optimization. Intelligent Control. Application Examples.
"Coordinating the diversity of their experience, the authors: provide unique and systematic explanations for the modeling of nonlinear systems, optimization, and control of various engineering problems, without depending on mathematical models . . . gives industrial researchers and practitioners a detailed analysis of practical issues in the development of applied intelligent systems . . . Equally useful for graduate students and those familiarizing themselves with the nuances of the field, it uses case studies, simulation examples and practical experimental results throughout to illustrate relevant theory and algorithms."
– In MCEER, 2009