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Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms
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    Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms

    Manufacturer: Springer
    ProductGroup: Book
    Binding: Hardcover

    NetworkingNetworking | Subjects | Certification Central | Computers & Internet | Subjects | Books
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    NetworksNetworks | Networks, Protocols & APIs | Networking | Computers & Internet | Subjects | Books
    GeneralGeneral | Networks, Protocols & APIs | Networking | Computers & Internet | Subjects | Books
    Fuzzy LogicFuzzy Logic | Algorithms | Programming | Computers & Internet | Subjects | Books
    GeneralGeneral | Algorithms | Programming | Computers & Internet | Subjects | Books
    GeneticGenetic | Algorithms | Programming | Computers & Internet | Subjects | Books
    Neural NetworksNeural Networks | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books
    RoboticsRobotics | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books
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    ASIN: 0792399994

    Book Description

    Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume.
    This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others.
    Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.
    Hybrid Intelligent Systems
    Average customer rating: Not rated
      Hybrid Intelligent Systems
      Larry R. Medsker
      Manufacturer: Springer
      ProductGroup: Book
      Binding: Hardcover

      Fuzzy LogicFuzzy Logic | Algorithms | Programming | Computers & Internet | Subjects | Books
      Expert SystemsExpert Systems | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books
      GeneralGeneral | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books
      Neural NetworksNeural Networks | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books
      Computer MathematicsComputer Mathematics | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books
      GeneralGeneral | Computers & Internet | Subjects | Books
      LogicLogic | Pure Mathematics | Mathematics | Science | Subjects | Books
      GeneralGeneral | Physics | Science | Subjects | Books
      LogicLogic | Pure Mathematics | Mathematics | Professional Science | Professional & Technical | Subjects | Books
      GeneralGeneral | Physics | Professional Science | Professional & Technical | Subjects | Books
      Qualifying Textbooks - Spring 2007Qualifying Textbooks - Spring 2007 | Stores | Books
      Expert SystemsExpert Systems | Business | Software Books | Custom Stores | Stores | Software
      ASIN: 0792395883

      Book Description

      Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable.
      The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to:

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