Description

Book Synopsis

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 frequ

    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

  • Fusion of Neural Networks Fuzzy Systems and

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      A Hardback by Lakhmi C. Jain, N.M. Martin

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        Publisher: Taylor & Francis Inc
        Publication Date: Publication Date: 17/11/1998
        ISBN13: 9780849398049, 978-0849398049
        ISBN10: 0849398045

        Description

        Book Synopsis

        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 frequ

        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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