Research Catalog
Fuzzy and neural approaches in engineering
- Title
- Fuzzy and neural approaches in engineering / Lefteri H. Tsoukalas, Robert E. Uhrig ; [foreword by Lotfi A. Zadeh].
- Author
- Tsoukalas, Lefteri H.
- Publication
- New York : Wiley, [1997], ©1997.
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Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Request in advance | QA76.87 .T76 1997 | Off-site |
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Details
- Additional Authors
- Description
- xix, 587 pages : illustrations; 25 cm.
- Summary
- Fuzzy and Neural Approaches in Engineering presents a detailed examination of the fundamentals of fuzzy systems and neural networks and then joins them synergistically - combining the feature extraction and modeling capabilities of the neural network with the representation capabilities of fuzzy systems.
- Exploring the value of relating genetic algorithms and expert systems to fuzzy and neural technologies, this forward-thinking text highlights an entire range of dynamic possibilities within soft computing.
- With examples of specifically designed to illuminate key concepts and overcome the obstacles of notation and overly mathematical presentations often encountered in other sources, plus tables, figures, and an up-to-date bibliography, this unique work is both an important reference and a practical guide to neural networks and fuzzy systems.
- Series Statement
- Adaptive and learning systems for signal processing, communications, and control
- Uniform Title
- Adaptive and learning systems for signal processing, communications, and control.
- Subject
- Note
- "A Wiley-Interscience publication."
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- 1. Introduction to Hybrid Artificial Intelligence Systems -- 2. Foundations of Fuzzy Approaches -- 3. Fuzzy Relations -- 4. Fuzzy Numbers -- 5. Linguistic Descriptions and Their Analytical Forms -- 6. Fuzzy Control -- 7. Fundamentals of Neural Networks -- 8. Backpropagation and Related Training Algorithms -- 9. Competitive, Associative, and Other Special Neural Networks -- 10. Dynamic Systems and Neural Control -- 11. Practical Aspects of Using Neural Networks -- 12. Fuzzy Methods in Neural Networks -- 13. Neural Methods in Fuzzy Systems -- 14. Selected Hybrid Neurofuzzy Applications -- 15. Dynamic Hybrid Neurofuzzy Systems -- 16. Expert Systems in Neurofuzzy Systems -- 17. Genetic Algorithms -- 18. Epilogue -- App. T Norms and S Norms.
- ISBN
- 0471160032 (cloth : alk. paper)
- LCCN
- 96014102
- OCLC
- ocm34473974
- Owning Institutions
- Columbia University Libraries