Computational Intelligence for Pattern Recognition / edited by Witold Pedrycz, Shyi-Ming Chen.
Pedrycz, Witold. editor.; Chen, Shyi-Ming. editor.
2018
Q342
Available Online

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Title Computational Intelligence for Pattern Recognition / edited by Witold Pedrycz, Shyi-Ming Chen.
ISBN 9783319896298
3319896296
3319896288
9783319896281
DOI https://doi.org/10.1007/978-3-319-89629-8
Published Cham : Springer International Publishing : Imprint: Springer, 2018.
Language English
Description 1 online resource (viii, 428 pages) : illustrations.
Item Number 10.1007/978-3-319-89629-8 doi
Call Number Q342
Dewey Decimal Classification 006.3
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Pedrycz, Witold. editor.
Chen, Shyi-Ming. editor.
Series Studies in computational intelligence ; 777.
Available in Other Form Print version: 9783319896281
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