- 456 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Intelligent Systems by Yung C. Shin,Chengying Xu in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.
Information
Edition
1Table of contents
- Cover Page
- fmchapter
- Intelligent Systems Modeling, Optimization, and Control
- copy
- dedication
- Contents
- Preface
- Acknowledgments
- Authors
- Chapter 1 Intelligent Systems
- Chapter 2 Modeling of Nonlinear Systems: Fuzzy Logic, Neural Networks, and Neuro-Fuzzy Systems
- Chapter 3 Efficient Training Algorithms
- Chapter 4 Fuzzy Inverse Model Development
- Chapter 5 Model-Based Optimization
- Chapter 6 Neural Control
- Chapter 7 Fuzzy Control
- Chapter 8 Stability Analysis Method
- Chapter 9 Intelligent Control for SISO Nonlinear Systems
- Chapter 10 Intelligent Control for MISO Nonlinear Systems
- Chapter 11 Knowledge-Based Multivariable Fuzzy Control
- Chapter 12 Model-Based Multivariable Fuzzy Control
- Index