Fuzzy and neural approaches in engineering
By Lefteri H. Tsoukalas
"Fuzzy and neural approaches in engineering" is published by Wiley in 1997 - New York, it has 587 pages and the language of the book is English.
“Fuzzy and neural approaches in engineering” Metadata:
- Title: ➤ Fuzzy and neural approaches in engineering
- Author: Lefteri H. Tsoukalas
- Language: English
- Number of Pages: 587
- Publisher: Wiley
- Publish Date: 1997
- Publish Location: New York
“Fuzzy and neural approaches in engineering” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Fuzzy systems - Engineering - Data processing - Neurale netwerken - Genie logiciel - Systemes flous - Inteligencia artificial (computacao) - Reseaux neuronaux (informatique) - Fuzzy logic - Productie - Engineering, data processing - Engineering & computer technology - Neural networks
Edition Specifications:
- Pagination: xix, 587 p. :
Edition Identifiers:
- The Open Library ID: OL976952M - OL3261287W
- Online Computer Library Center (OCLC) ID: 34473974
- Library of Congress Control Number (LCCN): 96014102
- ISBN-10: 0471160032
- All ISBNs: 0471160032
AI-generated Review of “Fuzzy and neural approaches in engineering”:
"Fuzzy and neural approaches in engineering" Description:
The Open Library:
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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