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.
Fuzzy and Neural Approaches in Engineering
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Book Description
Editorial Reviews
From the Publisher
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.
From the Back Cover
Provides a truly accessible introduction and a fully integrated approach to fuzzy systems and neural networks-the definitive text for students and practicing engineers Researchers are already applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. But the integration of these two fields into a "neurofuzzy" technology holds even greater potential benefits in reducing computing time and optimizing results. 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 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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a great tool for engineering research,
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This review is from: Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) (Hardcover)
I have been impressed by the clarity of the presented material and the intelligent choice of the various examples that are found in the text. One rarely finds such a well connected presentation of knowledge. This book gave me the capability to further expand my exploration efforts in this very interesting subject.
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Inside This Book
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First Sentence:
The term "artificial intelligence" (AI), in its broadest sense, encompasses a number of technologies that includes, but is not limited to, expert systems, neural networks, genetic algorithms, fuzzy logic systems, cellular automata, chaotic systems, and anticipatory systems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
min implication operator, unexpected power deviations, recirculation neural network, sth rule, fuzzy linguistic descriptions, neurofuzzy technology, product implication operator, algorithmic relation, neurofuzzy systems, membership function determination, fuzzy neurons, network paralysis, outstar learning, autoassociative neural network, new fuzzy set, summation layer, adaptive linear combiner, linear associator, determining membership functions, bottleneck layer, adaptive transversal filter, transverse filter, dendritic inputs, adaptive fuzzy systems, jth rule Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, International Conference, Academic Press, Englewood Cliffs, John Wiley, University of Tennessee, Van Nostrand Reinhold, Morgan Kaufmann, San Mateo, San Diego, International Journal of Approximate Reasoning, Industrial Electronics, Proceedings of the International Joint Conference, Fuzzy Computing Theory, Handbook of Intelligent Control, Information Sciences, Annual Meeting, Engineering Conference, Fuzzy Mathematical Techniques, Industrial Applications of Fuzzy Control, International Symposium, Pergamon Press, Stanford University, The Rise of the Expert Company, American Automatic Control Council New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The term "artificial intelligence" (AI), in its broadest sense, encompasses a number of technologies that includes, but is not limited to, expert systems, neural networks, genetic algorithms, fuzzy logic systems, cellular automata, chaotic systems, and anticipatory systems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
min implication operator, unexpected power deviations, recirculation neural network, sth rule, fuzzy linguistic descriptions, neurofuzzy technology, product implication operator, algorithmic relation, neurofuzzy systems, membership function determination, fuzzy neurons, network paralysis, outstar learning, autoassociative neural network, new fuzzy set, summation layer, adaptive linear combiner, linear associator, determining membership functions, bottleneck layer, adaptive transversal filter, transverse filter, dendritic inputs, adaptive fuzzy systems, jth rule Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, International Conference, Academic Press, Englewood Cliffs, John Wiley, University of Tennessee, Van Nostrand Reinhold, Morgan Kaufmann, San Mateo, San Diego, International Journal of Approximate Reasoning, Industrial Electronics, Proceedings of the International Joint Conference, Fuzzy Computing Theory, Handbook of Intelligent Control, Information Sciences, Annual Meeting, Engineering Conference, Fuzzy Mathematical Techniques, Industrial Applications of Fuzzy Control, International Symposium, Pergamon Press, Stanford University, The Rise of the Expert Company, American Automatic Control Council New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 64
books:
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31
books
cite this book:
See all 31 books citing this book
- Fuzzy Set Theory and its Applications by Hans-Jürgen Zimmermann on 5 pages
- Fuzzy Sets and Systems: Theory and Applications (Mathematics in Science & Engineering) by Didier J. Dubois on 5 pages
- Fuzzy Mathematical Techniques With Applications by Abraham Kandel on 4 pages
- Neural Networks for Control by W. Thomas Miller III on 4 pages
- Nuclear Power (20th Century Inventions) by Nina Morgan on 4 pages
See all 64 books this book cites
- Intelligent Data Engineering and Automated Learning - IDEAL 2002: Third International Conference, Manchester, UK, August 12-14 Proceedings (Lecture Notes in Computer Science) on page 18, page 24, and page 236
- Fuzzy and Neural Approaches in Engineering, MATLAB Supplement (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) by Lefteri H. Tsoukalas in Front Matter (1), Front Matter (2), and page 106
- Computational Intelligence in Control by Ruhul Amin on page 67, and page 217
- Intelligent Machines: Myths and Realities by Clarence W. de Silva on page 184, and page 287
- Power Electronics And Motor Drives: Advances and Trends by Bimal K. Bose on page 728, and page 849
See all 31 books citing this book
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