Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications / Edition 1

by Lakhmi C. Jain, N.M. Martin

Overview

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design.
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another.
This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include:

direct frequency converters

electro-hydraulic systems

motor control

toaster control

speech recognition

vehicle routing

fault diagnosis

Asynchronous Transfer Mode (ATM) communications networks

telephones for hard-of-hearing people

control of gas turbine aero-engines

telecommunications systems design
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.

Product Details

ISBN-13:	9780849398049
Publisher:	Taylor & Francis
Publication date:	11/17/1998
Series:	International Series on Computational Intelligence , #4
Pages:	362
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Jain, Lakhmi C.; Martin, N.M.

Table of Contents

Preface
Introduction to Knowledge-Based Engineering, N.M. Martin and L.C. Jain, Australia
A New Fuzzy-Neural Controller, K. Shimojima and T. Fukuda, Japan
Expert Knowledge-Based Direct Frequency Converter Using Fuzzy Logic Control, E. Wiechmann and R Burgos, Chile
Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques, P.J. Costa Branco and J.A Dente, Portugal
Neural Fuzzy Based Intelligent Systems and Applications, E. Khan, United States
Vehicle Routing through Simulation of Natural Processes, J.-Y. Potvin, Canada and S.R. Thangiah, United States
Fuzzy Logic and Neural Networks in Fault Detection, B. Koppen-Seliger and P.M. Frank, Germany
Application of the Neural Network and Fuzzy Logic to the Rotating Machine Diagnosis, M. Tanaka, Japan
Fuzzy Expert Systems in ATM Networks, C. Douligeris and S. Palazzo, Italy
Multimedia Telephone for Hard Hearing People, F. Lavagetto, Italy
Multiobjective Evolutionary Algorithms in Gas Turbine Aero-Engine Control, A. Chipperfield, P. Fleming, and H. Betteridge, United Kingdom
Application of Genetic Algorithms in Telecommunication System Design, V. Sinkovic, I. Lovrek, and B. Mikac, Croatia