Computational Intelligence for Pattern Recognition (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 777
Release date:	2019
First published:	2018
Editors:	Witold Pedrycz • Shyi-Ming Chen
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	428
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-007819-5
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition
LSN:	3-03-007819-1
Barcode:	9783030078195

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