Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications, 1st Edition (Hardback) book cover

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Industrial Applications, 1st Edition

Edited by Lakhmi C. Jain, N.M. Martin

CRC Press

368 pages

Purchasing Options:$ = USD
Hardback: 9780849398049
pub: 1998-11-17

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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.

  • Table of Contents


    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

    About the Series

    International Series on Computational Intelligence

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    Subject Categories

    BISAC Subject Codes/Headings:
    COMPUTERS / Software Development & Engineering / Systems Analysis & Design
    COMPUTERS / Computer Engineering
    TECHNOLOGY & ENGINEERING / Industrial Engineering