Fuzzy And Neural Approaches in Engineering
$537.52
- Hardcover
608 pages
- Release Date
22 January 1997
Summary
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 …
Book Details
| ISBN-13: | 9780471160038 |
|---|---|
| ISBN-10: | 0471160032 |
| Series: | Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control |
| Author: | Lefteri H. Tsoukalas, Lotfi A. Zadeh, Robert E. Uhrig |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-Interscience |
| Format: | Hardcover |
| Number of Pages: | 608 |
| Edition: | 1st |
| Release Date: | 22 January 1997 |
| Weight: | 989g |
| Dimensions: | 240mm x 160mm x 37mm |
About The Author
Lefteri H. Tsoukalas
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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