Editors:
- Brings together recent real-world applications of a machine learning technique whose performance has been greatly improved in recent years and which is experiencing resurgence in interest
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 150)
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Table of contents (12 chapters)
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Front Matter
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Learning Classifier Systems: A Brief Introduction
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Modelling and Optimization
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Front Matter
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Control
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Faculty of Computing, Engineering & Mathematical Sciences, University of the West of England, Bristol, UK
Larry Bull
Bibliographic Information
Book Title: Applications of Learning Classifier Systems
Editors: Larry Bull
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-39925-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-21109-9Published: 16 April 2004
Softcover ISBN: 978-3-642-53559-8Published: 03 August 2012
eBook ISBN: 978-3-540-39925-4Published: 13 August 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VIII, 305
Topics: Artificial Intelligence, Mathematical and Computational Engineering, Applications of Mathematics, Control, Robotics, Mechatronics