Soft Computing and Intelligent Systems
Theory and Applications
Published on 28. October 1999
639 pages
978-0-08-054133-4 (ISBN)
Description
The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science.This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.
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Book
10/1999
Academic Press
€156.50
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Persons
Madan M. Gupta is a Professor of Engineering at the University of Saskatchewan and Director of the Intelligent Systems Research Laboratory. Professor Gupta is a Fellow of the IEEE and a Fellow of the SPIE. He is the author of numerous books in the areas of fuzzy logic, fuzzy control, neural systems and control systems and the author or co-author of more than 650 research publications. In addition to numerous honors and awards, in 1998 Dr. Gupta received the prestigious Kaufman Prize Gold Medal for research in the field of fuzzy logic.
Content
- Front Cover
- Soft Computing and Intelligent Systems: Theory and Applications
- Copyright Page
- Contents
- Foreword
- Preface
- Acknowledgments
- List of Contributors
- Part I: Foundations of Soft Computing and Intelligent Control Systems
- Chapter 1. Outline of a computational Theory of Perceptions Based on Computing with Words
- Chapter 2. Introduction to Soft Computing and Intelligent Control Systems
- Chapter 3. Computational Issues in Intelligent Control
- Chapter 4. Neural Networks: A Guided Tour
- Chapter 5. On Generating Variable Structure Organization Using a Genetic Algorithm
- Chapter 6. Evolutionary Algorithms and Neural Networks
- Chapter 7. Neural Networks and Fuzzy Systems
- Chapter 8. Fuzzy Neural Networks
- Chapter 9. A Cursory Look at Parallel and Distributed Architectures and Biologically Inspired Computing
- Chapter 10. Developments in Learning Control Systems
- Part II: Theory of Soft Computing and Intelligent Control Systems
- Chapter 11. Techniques for Genetic Adaptive Control
- Chapter 12. Cooperative Behavior of Intelligent Agents: Theory and Practice
- Chapter 13. Expert Systems in Process Diagnosis and Control
- Chapter 14. Neural Networks for Identification of Nonlinear Systems: An Overview
- Chapter 15. Sensor Fusion System Using Recurrent Fuzzy Inference
- Chapter 16. Neurofuzzy State Estimators
- Part III: Implementation and Application of Intelligent Control
- Chapter 17. Soft Computing Paradigms for Artificial Vision
- Chapter 18. Intelligent Control with Neural Networks
- Chapter 19. Knowledge-Based Adaptation of Neurofuzzy Models in Predictive Control of a Heat Exchanger
- Chapter 20. Neural Network Approximation of Piecewise Continuous Functions: Application to Friction Compensation
- Chapter 21. Fuzzy Adaptive and Predictive Control of a Thermic Process
- Chapter 22. An Intelligent Approach to Positive Target Identification
- Chapter 23. Adaptive Agents and Artificial Life: Insights for the Power Industry
- Chapter 24. Truck Backer-Upper Control Using Dynamic Neural Network
- Part IV: Future Perspectives
- Chapter 25. Toward Intelligent Machines: Future Perspectives
- List of Current Bibliographical Sources on Soft Computing and Intelligent Control Systems
- About the Editors
- Index
