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Fuzzy Engineering: 10 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) - Hardcover
Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
LEFTERI H. TSOUKALAS, PhD, is on the faculty of the School of Nuclear Engineering at Purdue University and is an active industrial consultant and speaker. ROBERT E. UHRIG, PhD, holds a joint appointment as Distinguished Professor in the Nuclear Engineering Department at the University of Tennessee and Distinguished Scientist in the Instrumentation and Control Division at the Oak Ridge National Laboratory. He is the author of Random Noise Techniques in Nuclear Reactor Systems.
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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.
Aus dem Klappentext
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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- VerlagJohn Wiley & Sons
- Erscheinungsdatum1997
- ISBN 10 0471160032
- ISBN 13 9780471160038
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten608
- Kontakt zum HerstellerNicht verfügbar
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Fuzzy And Neural Approaches in Engineering
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Wiley-Interscience (edition 1), 1997
ISBN 10: 0471160032
ISBN 13: 9780471160038
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Hardcover. Zustand: Fair. 1. Heavy wear. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Artikel-Nr. 0471160032-7-1-13
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Beispielbild für diese ISBN
Fuzzy And Neural Approaches in Engineering
Verlag:
Wiley-Interscience (edition 1), 1997
ISBN 10: 0471160032
ISBN 13: 9780471160038
Gebraucht
Hardcover
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Fair. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Artikel-Nr. 0471160032-7-1
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Fuzzy Engineering
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Zustand: Gut. Zustand: Gut | Seiten: 608 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 860197/203
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Fuzzy and Neural Approaches in Engineering
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Zustand: New. LEFTERI H. TSOUKALAS, PhD, is on the faculty of the School of Nuclear Engineering at Purdue University and is an active industrial consultant and speaker. ROBERT E. UHRIG, PhD, holds a joint appointment as Distinguished Professor in the Nuclear Engineering . Artikel-Nr. 446914815
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Fuzzy And Neural Approaches in Engineering
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Fuzzy and Neural Approaches in Engineering
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Buch. Zustand: Neu. Neuware - Fuzzy Logic und neuronale Netze, bisher zwei relativ unabhängige Technologien mit überragendem Erfolg, werden in diesem Werk verknüpft. Anhand detaillierter Beispiele werden dem Elektronikingenieur oder Softwaredesigner die erstaunlichen Synergieeffekte nahegebracht, die die kombinierte Anwendung beider Techniken ermöglicht. Artikel-Nr. 9780471160038
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Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
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Hardcover. Zustand: Brand New. 587 pages. 9.75x6.75x1.50 inches. In Stock. Artikel-Nr. x-0471160032
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