Computational Intelligence for Pattern Recognition

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
Cover of the book Computational Intelligence for Pattern Recognition by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319896298
Publisher: Springer International Publishing Publication: April 30, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319896298
Publisher: Springer International Publishing
Publication: April 30, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book De Sitter Projective Relativity by
Cover of the book Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems by
Cover of the book Autofiction in English by
Cover of the book Rational Points on Elliptic Curves by
Cover of the book Sensors and Instrumentation, Volume 5 by
Cover of the book Readings in Formal Epistemology by
Cover of the book Homological Mirror Symmetry and Tropical Geometry by
Cover of the book Energy-Efficient HVAC Design by
Cover of the book Resilient Controls for Ordering Uncertain Prospects by
Cover of the book Neuroimaging Pharmacopoeia by
Cover of the book Methods of Solving Complex Geometry Problems by
Cover of the book Advanced Quantum Mechanics by
Cover of the book Smart Sensors and Systems by
Cover of the book Darwin, Geodynamics and Extreme Waves by
Cover of the book Handbook of Cardiac Anatomy, Physiology, and Devices by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy