Fuzzy and neural approaches in engineering
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Author
Contributions
- Uhrig, Robert E., 1928- - Contributor
Publication
1997 - Wiley, New York, New York (State)
Language
English
Word Count
146,750 words, Guess
Page Count
587 pages
Identifiers
- Open LibraryOL976952M
- ISBN-100471160032
- OCLC Control Number34473974
- OCLC Control Numberfuzzyneuralappro0000tsou
- Library of Congress Control Number96014102
and 2 more
- Goodreads2242748
- LibraryThing1582787
Classifications
- DDC620/.0028563
- LCCQA76.87 .T76 1997
Description
Fuzzy and Neural Approaches in Engineering presents a detailed examination of the fundamentals of fuzzy systems and neural networks and then joins them synergistically - combining the feature extraction and modeling capabilities of the neural network with the representation capabilities of fuzzy systems. Exploring the value of relating genetic algorithms and expert systems to fuzzy and neural technologies, this forward-thinking text highlights an entire range of dynamic possibilities within soft computing. With examples of specifically designed to illuminate key concepts and overcome the obstacles of notation and overly mathematical presentations often encountered in other sources, plus tables, figures, and an up-to-date bibliography, this unique work is both an important reference and a practical guide to neural networks and fuzzy systems.
Subjects
Topics
Series Statement
- Adaptive and learning systems for signal processing, communications, and control
Other Editions
- Fuzzy and neural approaches in engineering
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