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Fuzzy and neural approaches in engineering / Lefteri H. Tsoukalas, Robert E. Uhrig

By: Contributor(s): Material type: TextTextSeries: Adaptive and learning systems for signal processing, communications, and controlPublication details: New York : Wiley, ℗♭1997Description: xix, 587 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0471160032
  • 9780471160038
Subject(s): Additional physical formats: Online version:: Fuzzy and neural approaches in engineering.; Online version:: Fuzzy and neural approaches in engineering.DDC classification:
  • 620/.0028563 20
LOC classification:
  • QA76.87 .T76 1997
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
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 computingSummary: 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
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Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode
Books Books Dato Maznah Library & Information Services Open Collection Q Science (General) QA76.87.T76 1997 (Browse shelf(Opens below)) Available 10075847

"A Wiley-Interscience publication."

Includes bibliographical references and index

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

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

Current Copyright Fee: GBP32.00 0. Uk

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