Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications (International Series on Computational Intelligence)

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9780849398049: Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications (International Series on Computational Intelligence)

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.
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    From the Back Cover:

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

    "Sobre este título" puede pertenecer a otra edición de este libro.

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    1.

    Editorial: CRC Press (1998)
    ISBN 10: 0849398045 ISBN 13: 9780849398049
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    Descripción CRC Press, 1998. Hardcover. Estado de conservación: New. Never used!. Nº de ref. de la librería P110849398045

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    Descripción CRC Press, 1998. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FT-9780849398049

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    Editorial: Taylor Francis Inc, United States (1998)
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    Descripción Taylor Francis Inc, United States, 1998. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AA69780849398049

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    Editorial: Taylor Francis Inc, United States (1998)
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    Descripción Taylor Francis Inc, United States, 1998. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AA69780849398049

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    5.

    Editorial: CRC Press (1998)
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    Descripción CRC Press, 1998. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería M0849398045

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    Jain, L. C. (EDT)/ Martin, N. M. (EDT)
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    Descripción Taylor & Francis Inc 1998-11-17, Bosa Roca, 1998. hardback. Estado de conservación: New. Nº de ref. de la librería 9780849398049

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    Lakhmi C. Jain, L. C. Jain, N. M. Martin
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    Descripción Taylor & Francis Inc. Hardback. Estado de conservación: new. BRAND NEW, Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications, Lakhmi C. Jain, L. C. Jain, N. M. Martin, 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. Nº de ref. de la librería B9780849398049

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    Jain, Lakhmi C.
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    Descripción 1998. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería VT-9780849398049

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    JAIN, LAKHMI C.; MARTIN, N.M.
    Editorial: CRC Press (1998)
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    Descripción CRC Press, 1998. Hardback. Estado de conservación: NEW. 9780849398049 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0197862

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    Editorial: Taylor Francis Inc, United States (1998)
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    Descripción Taylor Francis Inc, United States, 1998. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. de la librería BTE9780849398049

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