Editors:
- Presents the latest research on Intelligent Systems applied to Control, Pattern Recognition and Medicine
- Describes recent advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems
- Written by respected experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 827)
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Table of contents (24 chapters)
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Front Matter
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Type-1 and Type-2 Fuzzy Logic
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Front Matter
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Pattern Recognition
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Front Matter
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Metaheuristics: Theory and Applications
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Front Matter
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About this book
Editors and Affiliations
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Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico
Oscar Castillo, Patricia Melin
Bibliographic Information
Book Title: Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
Editors: Oscar Castillo, Patricia Melin
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-34135-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-34134-3Published: 03 December 2019
Softcover ISBN: 978-3-030-34137-4Published: 03 December 2020
eBook ISBN: 978-3-030-34135-0Published: 23 November 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 362
Topics: Computational Intelligence, Control and Systems Theory, Biomedical Engineering and Bioengineering