Advances in Intelligent and Soft Computing

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Editors: Melin, P., Castillo, O., Ramírez, E.G., Pedrycz, W. (Eds.)

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  • Proceedings of the IFSA World Congress 2007 held in Cancun, Mexico June 18- 21
  • Presents recent research results in Fuzzy Logic and Soft Computing
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eBook $229.00
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  • ISBN 978-3-540-72432-2
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Softcover $299.99
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  • ISBN 978-3-540-72431-5
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About this book

This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.

Table of contents (84 chapters)

Table of contents (84 chapters)
  • Fuzzy Logic as the Logic of Natural Languages

    Pages 1-2

    Zadeh, Lotfi A.

  • A Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic for Biometric Systems

    Pages 5-15

    Urías, Jérica (et al.)

  • Evolving Type-2 Fuzzy Logic Controllers for Autonomous Mobile Robots

    Pages 16-25

    Wagner, Christian (et al.)

  • Adaptive Type-2 Fuzzy Logic for Intelligent Home Environment

    Pages 26-35

    Huh, Sunghoi (et al.)

  • Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BP

    Pages 36-44

    Mendez, G. M.

Buy this book

eBook $229.00
price for USA in USD (gross)
  • ISBN 978-3-540-72432-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $299.99
price for USA in USD
  • ISBN 978-3-540-72431-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Analysis and Design of Intelligent Systems Using Soft Computing Techniques
Editors
  • Patricia Melin
  • Oscar Castillo
  • Eduardo G. Ramírez
  • Witold Pedrycz
Series Title
Advances in Intelligent and Soft Computing
Series Volume
41
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-72432-2
DOI
10.1007/978-3-540-72432-2
Softcover ISBN
978-3-540-72431-5
Series ISSN
1867-5662
Edition Number
1
Number of Pages
XXI, 855
Topics