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OverviewNeural 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. Full Product DetailsAuthor: Lefteri H. Tsoukalas (Purdue University) , Robert E. Uhrig (University of Tennessee and Oak Ridge National Laboratory) , Lotfi A. Zadeh (University of California, Berkeley)Publisher: John Wiley & Sons Inc Imprint: Wiley-Interscience Dimensions: Width: 16.00cm , Height: 3.70cm , Length: 24.00cm Weight: 0.989kg ISBN: 9780471160038ISBN 10: 0471160032 Pages: 600 Publication Date: 17 February 1997 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviewsAuthor InformationLEFTERI 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. Tab Content 6Author Website:Countries AvailableAll regions |