Fuzzy And Neural Approaches in Engineering
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Fuzzy And Neural Approaches in Engineering by Lefteri H Tsoukalas
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.
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.
| SKU | Unavailable |
| ISBN 13 | 9780471160038 |
| ISBN 10 | 0471160032 |
| Title | Fuzzy And Neural Approaches in Engineering |
| Author | Lefteri H Tsoukalas |
| Series | Adaptive And Cognitive Dynamic Systems: Signal Processing Learning Communications And Control |
| Condition | Unavailable |
| Publisher | John Wiley & Sons Inc |
| Year published | 1997-02-17 |
| Number of pages | 600 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |