Fuzzy And Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Language: English
Published by Wiley-Interscience, 1997
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- Title
- Fuzzy And Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
- Author
- Tsoukalas, Lefteri H.
- Publisher
- Wiley-Interscience
- Publication year
- 1997
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471160032
- ISBN 13
- 9780471160038
- Series
- Book 20 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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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About the Author
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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