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:odirect frequency convertersoelectro-hydraulic systemsomotor controlotoaster controlospeech recognitionovehicle routingofault diagnosisoAsynchronous Transfer Mode (ATM) communications networksotelephones for hard-of-hearing peopleocontrol of gas turbine aero-enginesotelecommunications systems designFusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.
Full Product Details
Author: Lakhmi C. Jain , N.M. Martin , Toshio Fukuda (Nagoya University, Nagoya, Japan) , N.M. Martin (University of South Australia, Adelaide, Australia)
Publisher: Taylor & Francis Inc
Imprint: CRC Press Inc
Volume: 4
Dimensions:
Width: 15.60cm
, Height: 2.60cm
, Length: 23.40cm
Weight: 0.662kg
ISBN: 9780849398049
ISBN 10: 0849398045
Pages: 362
Publication Date: 17 November 1998
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: In Print 
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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
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Jain, Lakhmi C.; Martin, N.M.
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