Overview
- Presents applications in a wide range of areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems
- Includes papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics
- Describes the latest advances
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 667)
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Table of contents (56 chapters)
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Type-2 and Intuitionistic Fuzzy Logic
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Neural Networks Theory and Applications
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Nature-Inspired Design of Hybrid Intelligent Systems
Editors: Patricia Melin, Oscar Castillo, Janusz Kacprzyk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-47054-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-47053-5Published: 16 December 2016
Softcover ISBN: 978-3-319-83650-8Published: 05 July 2018
eBook ISBN: 978-3-319-47054-2Published: 08 December 2016
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 838
Number of Illustrations: 132 b/w illustrations, 258 illustrations in colour
Topics: Computational Intelligence