UID:
almahu_9948025671802882
Format:
1 online resource (663 p.)
ISBN:
1-281-03853-9
,
9786611038533
,
0-08-054133-X
Series Statement:
Academic Press series in engineering
Content:
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 "
Note:
Description based upon print version of record.
,
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
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Chapter 6. Evolutionary Algorithms and Neural NetworksChapter 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
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Chapter 14. Neural Networks for Identification of Nonlinear Systems: An OverviewChapter 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
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Chapter 21. Fuzzy Adaptive and Predictive Control of a Thermic ProcessChapter 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
,
English
Additional Edition:
ISBN 0-12-646490-1
Language:
English
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