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Applications of Learning Classifier Systems

  • Larry Bull

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 150)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Learning Classifier Systems: A Brief Introduction

  3. Data Mining

    1. Front Matter
      Pages 13-13
    2. Alwyn Barry, John Holmes, Xavier Llorà
      Pages 15-67
    3. Philip W. Dixon, David W. Corne, Martin J. Oates
      Pages 92-109
  4. Modelling and Optimization

    1. Front Matter
      Pages 111-111
    2. R. E. Smith, A. El-Fallah, B. Ravichandran, R. K. Mehra, B. A. Dike
      Pages 113-142
  5. Control

  6. Back Matter
    Pages 300-305

About this book

Introduction

 This carefully edited book brings together a fascinating selection of applications of Learning Classifier Systems (LCS). The book demonstrates the utility of this machine learning technique in recent real-world applications in such domains as data mining, modeling and optimization, and control. It shows how the LCS technique combines and exploits many Soft Computing approaches into a single coherent framework to produce an improved performance over other approaches.

Keywords

Agent Modelling Control Data Mining Evolutionary Computing Fuzzy Fuzzy Logic Machine Learning Reinforcement Learning Robotics Signal Simulation Soft Computing model modeling optimization

Editors and affiliations

  • Larry Bull
    • 1
  1. 1.Faculty of Computing, Engineering & Mathematical SciencesUniversity of the West of EnglandBristolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-39925-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-53559-8
  • Online ISBN 978-3-540-39925-4
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site