Computational Intelligence for Pattern Recognition Paperback / softback
Edited by Witold Pedrycz, Shyi-Ming Chen
Part of the Studies in Computational Intelligence series
Paperback / softback
Description
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.
Information
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Out of stock
- Format:Paperback / softback
- Pages:428 pages, 118 Illustrations, color; 33 Illustrations, black and white; VIII, 428 p. 151 illus., 118
- Publisher:Springer Nature Switzerland AG
- Publication Date:30/01/2019
- Category:
- ISBN:9783030078195
Information
-
Out of stock
- Format:Paperback / softback
- Pages:428 pages, 118 Illustrations, color; 33 Illustrations, black and white; VIII, 428 p. 151 illus., 118
- Publisher:Springer Nature Switzerland AG
- Publication Date:30/01/2019
- Category:
- ISBN:9783030078195
