Fuzzy And Neural Approaches in Engineering (Hardcover)

Lefteri H. Tsoukalas

ISBN 10: 0471160032 / ISBN 13: 9780471160038

Published by John Wiley & Sons Inc, New York, 1997

About this Item

Hardcover. 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. Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780471160038

Bibliographic Details

• Title: Fuzzy And Neural Approaches in Engineering (Hardcover)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 1997
• Language: English
• ISBN 10: 0471160032
• ISBN 13: 9780471160038
• Binding: Hardcover
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

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.

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.