Studies in Computational Intelligence

Computational Intelligence for Pattern Recognition

Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)

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  • Provides a comprehensive and up-to-date overview, covering a spectrum of methodological and algorithmic issues, and discussing implementations and case studies
  • Identifies best design practices, assessing business models and pattern recognition in industry, health care, administration, and business
  • Offers a systematic introduction to the concepts, design methodology, and detailed algorithms
  • Includes individual chapters with clearly defined structures and well-defined focuses and additional reading material available via carefully selected references
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-89629-8
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  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-89628-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.

Table of contents (15 chapters)

  • Fuzzy Choquet Integration of Deep Convolutional Neural Networks for Remote Sensing

    Anderson, Derek T. (et al.)

    Pages 1-28

  • Deep Neural Networks for Structured Data

    Bianchini, Monica (et al.)

    Pages 29-51

  • Granular Computing Techniques for Bioinformatics Pattern Recognition Problems in Non-metric Spaces

    Martino, Alessio (et al.)

    Pages 53-81

    Preview Buy Chapter 30,19 €
  • Multi-classifier-Systems: Architectures, Algorithms and Applications

    Bellmann, Peter (et al.)

    Pages 83-113

  • Learning Label Dependency and Label Preference Relations in Graded Multi-label Classification

    Laghmari, Khalil (et al.)

    Pages 115-164

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-89629-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-89628-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Computational Intelligence for Pattern Recognition
Editors
  • Witold Pedrycz
  • Shyi-Ming Chen
Series Title
Studies in Computational Intelligence
Series Volume
777
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-89629-8
DOI
10.1007/978-3-319-89629-8
Hardcover ISBN
978-3-319-89628-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
VIII, 428
Number of Illustrations
33 b/w illustrations, 118 illustrations in colour
Topics