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Intelligent Hybrid Systems

Fuzzy Logic, Neural Networks, and Genetic Algorithms

  • Da Ruan

Table of contents

  1. Front Matter
    Pages i-xix
  2. Basic Principles and Methodologies

    1. Front Matter
      Pages 1-1
    2. Liam P. Maguire, T. Martin McGinnity, Liam J. McDaid
      Pages 35-58
    3. Uzay Kaymak, Robert Babuška, Magne Setnes, Henk B. Verbruggen, Hans R. van Nauta Lemke
      Pages 91-108
    4. Masaharu Mizumoto, Yan Shi
      Pages 109-129
  3. Data Analysis and Information Systems

    1. Front Matter
      Pages 131-131
    2. Bo Yuan, George Klir
      Pages 161-187
    3. Joachim Angstenberger, Richard Weber
      Pages 189-208
  4. Nonlinear Systems and System Identification

    1. Front Matter
      Pages 253-253
    2. Eiji Uchino, Takeshi Yamakawa
      Pages 331-351
  5. Back Matter
    Pages 353-354

About this book

Introduction

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.

Keywords

Chaos algorithms filtering fuzzy fuzzy logic fuzzy systems genetic algorithms genetic programming information system intelligent systems learning optimization programming

Editors and affiliations

  • Da Ruan
    • 1
  1. 1.Belgian Nuclear Research Centre (SCK•CEN)MolBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-6191-0
  • Copyright Information Springer Science+Business Media New York 1997
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7838-9
  • Online ISBN 978-1-4615-6191-0
  • Buy this book on publisher's site