ABSTRACT

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.

chapter |8 pages

Intelligent Systems

chapter |32 pages

Efficient Training Algorithms

chapter 4|30 pages

Fuzzy Inverse Model Development

chapter 5|24 pages

Model-Based Optimization

chapter 6|10 pages

Neural Control

chapter 7|52 pages

Fuzzy Control

chapter 8|26 pages

Stability Analysis Method

chapter 12|44 pages

Model-Based Multivariable Fuzzy Control