Overview
- 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
Part of the book series: Studies in Computational Intelligence (SCI, volume 777)
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Table of contents (15 chapters)
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Bibliographic Information
Book Title: Computational Intelligence for Pattern Recognition
Editors: Witold Pedrycz, Shyi-Ming Chen
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-89629-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-89628-1Published: 15 May 2018
Softcover ISBN: 978-3-030-07819-5Published: 30 January 2019
eBook ISBN: 978-3-319-89629-8Published: 30 April 2018
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 428
Number of Illustrations: 33 b/w illustrations, 118 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Pattern Recognition