Fuzzy and Neural Approaches in Engineering
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 f…
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Produktdetails
Weitere Autoren: Uhrig, Robert E. / Zadeh, Lotfi A.
- ISBN: 978-0-471-16003-8
- EAN: 9780471160038
- Produktnummer: 1631443
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 1997
- Seitenangabe: 600 S.
- Masse: H24.0 cm x B16.0 cm x D3.5 cm 964 g
- Gewicht: 964
Über 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.
2 weitere Werke von Lefteri H. Tsoukalas:
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