Description: Computational Intelligence for Pattern Recognition Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Witold Pedrycz, Shyi-Ming Chen Format: Hardback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319896281, 978-3319896281 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.
Price: 105.15 GBP
Location: Aldershot
End Time: 2025-01-12T09:25:51.000Z
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Book Title: Computational Intelligence for Pattern Recognition
Number of Pages: 428 Pages
Publication Name: Computational Intelligence for Pattern Recognition
Language: English
Publisher: Springer International Publishing A&G
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2018
Type: Textbook
Item Weight: 816 g
Author: Witold Pedrycz, Shyi-Ming Chen
Item Width: 155 mm
Series: Studies in Computational Intelligence
Format: Hardcover