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Computational Intelligence for Pattern Recognition

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Computational Intelligence for Pattern Recognition Synopsis

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.

About This Edition

ISBN: 9783319896281
Publication date: 15th May 2018
Author: Witold Pedrycz, ShyiMing Chen
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 428 pages
Series: Studies in Computational Intelligence
Genres: Artificial intelligence
Pattern recognition