Computational intelligence for pattern recognition
1st ed.
Author
Additional Author(s)
Pedrycz, Witold
Chen, Shyi-Ming
Publisher
Cham, Switzerland : Springer International Publishing, 2018
Language
English
ISBN
9783319896298
Series
Studies in computational intelligence 777
Subject(s)
ARTIFICIAL INTELLIGENCE
COMPUTATIONAL INTELLIGENCE
PATTERN PERCEPTION
Notes
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Abstract
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.
