Fuzzy and neural approaches in engineering / Lefteri H. Tsoukalas, Robert E. Uhrig ; [foreword by Lotfi A. Zadeh].

By:

Tsoukalas, Lefteri H

Contributor(s):

Material type: Text

TextSeries: Adaptive and learning systems for signal processing, communications, and controlPublication details: New York : John Wiley, c1997.Description: xix, 587 p. : ill., figs. ; 21 cmISBN:

0471160032 (cloth : alk. paper)

Subject(s):

DDC classification:

620.0028563/ T882f 22

Contents:

1. Introduction to Hybrid Artificial Intelligence Systems -- 2. Foundations of Fuzzy Approaches -- 3. Fuzzy Relations -- 4. Fuzzy Numbers -- 5. Linguistic Descriptions and Their Analytical Forms --

Summary: 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.Summary: 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.Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Book	Daffodil International University Library General Stacks	Non-fiction	620.0028563/ T882f (Browse shelf(Opens below))	1	Available		013017

Total holds: 0

"A Wiley-Interscience publication."

Includes bibliographical references and index.

1. Introduction to Hybrid Artificial Intelligence Systems -- 2. Foundations of Fuzzy Approaches -- 3. Fuzzy Relations -- 4. Fuzzy Numbers -- 5. Linguistic Descriptions and Their Analytical Forms --

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.

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