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Studies in Fuzziness and Soft Computing

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Authors: Lughofer, Edwin

  • Complete overview of Methodologies and Applications of Evolving Fuzzy Systems
  • Presents potential new applications and open problems
  • Written by a leading expert in the field
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eBook $189.00
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  • ISBN 978-3-642-18087-3
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  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-3-642-18086-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
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  • ISBN 978-3-642-26692-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
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About this book

In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences.

Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling.

This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines.

The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations.  It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.

Table of contents (10 chapters)

  • Introduction

    Lughofer, Edwin

    Pages 1-42

  • Basic Algorithms for EFS

    Lughofer, Edwin

    Pages 45-91

  • EFS Approaches for Regression and Classification

    Lughofer, Edwin

    Pages 93-164

  • Towards Robust and Process-Save EFS

    Lughofer, Edwin

    Pages 167-212

  • On Improving Performance and Increasing Useability of EFS

    Lughofer, Edwin

    Pages 213-259

Buy this book

eBook $189.00
price for USA
  • ISBN 978-3-642-18087-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-3-642-18086-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-3-642-26692-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
266
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-18087-3
DOI
10.1007/978-3-642-18087-3
Hardcover ISBN
978-3-642-18086-6
Softcover ISBN
978-3-642-26692-8
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XXIV, 456
Topics