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Computers Intelligence (ai) & Semantics

Computational Intelligence for Pattern Recognition

by (author) Witold Pedrycz

edited by Shyi-Ming Chen

Publisher
Springer Nature
Initial publish date
May 2018
Category
Intelligence (AI) & Semantics, Computer Science
  • Hardback

    ISBN
    9783319896281
    Publish Date
    May 2018
    List Price
    $248.5

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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.

About the authors