Fuzzy and neural approaches in engineering
Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnec...
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| Format: | Book |
| Language: | English |
| Published: |
New York, NY
John Wiley & Sons
1997
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| Series: | Adaptive and learning systems for signal processing, communications, and control
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| Subjects: | |
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| 040 | |a UPNM | ||
| 090 | |a QA 76.87 |b .T76 1997 | ||
| 100 | 1 | |a Tsoukalas, Lefteri H. | |
| 245 | 1 | 0 | |a Fuzzy and neural approaches in engineering |c Lefteri H. Tsoukalas, Robert E. Uhrig |
| 260 | |a New York, NY |b John Wiley & Sons |c 1997 | ||
| 300 | |a xix, 587 p. |b ill. |c 24 cm. | ||
| 490 | 1 | |a Adaptive and learning systems for signal processing, communications, and control | |
| 504 | |a Includes bibliographical references and index | ||
| 505 | |a 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. | ||
| 520 | |a Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies. | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Fuzzy Systems | |
| 650 | 0 | |a Engineering |x Data processing | |
| 700 | 1 | |a Uhrig, Robert E. | |
| 830 | 0 | |a Adaptive and learning systems for signal processing, communications, and control | |
| 999 | |a vtls000051310 |c 2675 |d 2675 | ||