Master your Minecraft
 
 

Special Offers see all

Enter to WIN a $100 Credit

Subscribe to PowellsBooks.news
for a chance to win.
Privacy Policy

Tour our stores


    Recently Viewed clear list


    What I'm Giving | November 29, 2014

    Neil Patrick Harris: IMG Neil Patrick Harris: What I'm Giving



    At Powell's, we feel the holidays are the perfect time to share our love of books with those close to us. For this special blog series, we reached... Continue »

    spacer
Qualifying orders ship free.
$201.95
New Hardcover
Ships in 1 to 3 days
Add to Wishlist
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Qty Store Section
25 Remote Warehouse Engineering- General Engineering

Other titles in the Adaptive and Learning Systems for Signal Processing, Communications and Control series:

Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control)

by

Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control) Cover

 

Synopses & Reviews

Publisher Comments:

Provides a truly accessible introduction and a fully integrated approach to fuzzy systems and neural networks-the definitive text for students and practicing engineers Researchers are already 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. But the integration of these two fields into a "neurofuzzy" technology holds even greater potential benefits in reducing computing time and optimizing results. 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 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.

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.

Synopsis:

Provides a truly accessible introduction and a fully integrated approach to fuzzy systems and neural networks-the definitive text for students and practicing engineers Researchers are already 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. But the integration of these two fields into a "neurofuzzy" technology holds even greater potential benefits in reducing computing time and optimizing results. 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 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.

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.

Table of Contents

Aus dem Inhalt:

Introduction to Hybrid AI Systems;

Foundations of Fuzzy Approaches;

Fuzzy Relations;

Fuzzy Numbers;

Linguistic Descriptions and Their Analytical Forms;

Fuzzy Control;

Fundamentals of Neural Networks;

Backpropagation and Related Training Algorithms;

Competitive, Associative and Other Special Neural Networks;

Dynamic Systems and Neural Control;

Practical Aspects of Using Neural Networks;

Neural Networks in Fuzzy Systems;

Fuzzy Methods in Neural Networks;

General Hybrid Neurofuzzy Applications;

Dynamic Hybrid Neurofuzzy Applications;

Role of Expert Systems in Fuzzy Neural Systems;

Genetic Algorithms;

Future Trends in Soft Computing

Product Details

ISBN:
9780471160038
With:
Uhrig, Robert E.
Author:
Uhrig, Robert E.
Author:
Tsoukalas
Author:
Tsoukalas, Lefteri H.
Author:
Zadeh, Lotfi A.
Publisher:
John Wiley & Sons
Location:
New York :
Subject:
Engineering - General
Subject:
Engineering
Subject:
Data processing
Subject:
Neural Networks
Subject:
Neural networks (computer science)
Subject:
Fuzzy systems
Subject:
Engineering -- Data processing.
Subject:
Engineering-General Engineering
Copyright:
Edition Description:
Includes bibliographical references and index.
Series:
Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Series Volume:
O
Publication Date:
January 1997
Binding:
HARDCOVER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Yes
Pages:
600
Dimensions:
9.58x6.45x1.39 in. 2.31 lbs.

Other books you might like

  1. Uncertain Rule-Based Fuzzy Logic... New Trade Paper $119.50
  2. Advances in the Dempster-Shafer... New Hardcover $119.50

Related Subjects

Computers and Internet » Artificial Intelligence » General
Engineering » Engineering » General Engineering
Science and Mathematics » Biology » Entomology and General Invertebrates

Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control) New Hardcover
0 stars - 0 reviews
$201.95 In Stock
Product details 600 pages Wiley-Interscience - English 9780471160038 Reviews:
"Synopsis" by , 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.
"Synopsis" by , Provides a truly accessible introduction and a fully integrated approach to fuzzy systems and neural networks-the definitive text for students and practicing engineers Researchers are already 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. But the integration of these two fields into a "neurofuzzy" technology holds even greater potential benefits in reducing computing time and optimizing results. 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 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.
spacer
spacer
  • back to top

FOLLOW US ON...

     
Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.