Editors:
- Presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application
- Includes applications in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems
- This carefully edited book is organized in eight main parts
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 601)
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Table of contents (47 chapters)
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Nature Inspired Optimization
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Nature Inspired Optimization Applications
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Front Matter
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Optimization: Theory and Applications
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Front Matter
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About this book
This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.
Editors and Affiliations
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Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico
Patricia Melin, Oscar Castillo
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Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland
Janusz Kacprzyk
Bibliographic Information
Book Title: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
Editors: Patricia Melin, Oscar Castillo, Janusz Kacprzyk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-17747-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-17746-5Published: 25 June 2015
Softcover ISBN: 978-3-319-36961-7Published: 15 October 2016
eBook ISBN: 978-3-319-17747-2Published: 12 June 2015
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 637
Number of Illustrations: 81 b/w illustrations, 226 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Optimization, Control, Robotics, Mechatronics
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