Elsevier S & T

Soft Computing and Intelligent Systems: Theory and Applications

Gupta, Madan M.

In stock
No reviews
59.250 KD inc. VAT
License
Table of contents
  • Cover
  • Contentsvii
  • Forewordix
  • Prefacexi
  • Acknowledgmentsxiv
  • List of Contributorsxv
  • Part I: Foundations of Soft Computing and Intelligent Control Systems1
  • Chapter 1. Outline of a computational Theory of Perceptions Based on Computing with Words3
  • Chapter 2. Introduction to Soft Computing and Intelligent Control Systems23
  • Chapter 3. Computational Issues in Intelligent Control39
  • Chapter 4. Neural Networks: A Guided Tour71
  • Chapter 5. On Generating Variable Structure Organization Using a Genetic Algorithm81
  • Chapter 6. Evolutionary Algorithms and Neural Networks111
  • Chapter 7. Neural Networks and Fuzzy Systems137
  • Chapter 8. Fuzzy Neural Networks161
  • Chapter 9. A Cursory Look at Parallel and Distributed Architectures and Biologically Inspired Comput185
  • Chapter 10. Developments in Learning Control Systems217
  • Part II: Theory of Soft Computing and Intelligent Control Systems255
  • Chapter 11. Techniques for Genetic Adaptive Control257
  • Chapter 12. Cooperative Behavior of Intelligent Agents: Theory and Practice279
  • Chapter 13. Expert Systems in Process Diagnosis and Control309
  • Chapter 14. Neural Networks for Identification of Nonlinear Systems: An Overview337
  • Chapter 15. Sensor Fusion System Using Recurrent Fuzzy Inference357
  • Chapter 16. Neurofuzzy State Estimators377
  • Part III: Implementation and Application of Intelligent Control403
  • Chapter 17. Soft Computing Paradigms for Artificial Vision405
  • Chapter 18. Intelligent Control with Neural Networks419
  • Chapter 19. Knowledge-Based Adaptation of Neurofuzzy Models in Predictive Control of a Heat Exchange469
  • Chapter 20. Neural Network Approximation of Piecewise Continuous Functions: Application to Friction491
  • Chapter 21. Fuzzy Adaptive and Predictive Control of a Thermic Process519
  • Chapter 22. An Intelligent Approach to Positive Target Identification549
  • Chapter 23. Adaptive Agents and Artificial Life: Insights for the Power Industry571
  • Chapter 24. Truck Backer-Upper Control Using Dynamic Neural Network593
  • Part IV: Future Perspectives609
  • Chapter 25. Toward Intelligent Machines: Future Perspectives611
  • List of Current Bibliographical Sources on Soft Computing and Intelligent Control Systems621
  • About the Editors625
  • Index629
Book details
  • Vendor Elsevier S & T
  • SKU 9780126464900
  • ISBN-13 9780080541334
  • Author Gupta, Madan M.
  • Category Technology & Engineering
  • Subject Robotics

Do you have questions about this book?

Ask an expert!

Description eBook delivery & access Reviews
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.