Overview
- Recent advances on hybrid intelligent systems using soft computing techniques
- Presents various aspects of bio-inspired models, soft computing and hybrid intelligent systems for control, mobile robotics, pattern recognition, time series prediction and other complex real world problems
- Useful for researchers and practitioners including theoretical aspects as well as application papers
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 547)
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Table of contents (50 chapters)
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Front Matter
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Type-2 Fuzzy Logic
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Front Matter
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Bio-Inspired Algorithms
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Front Matter
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Keywords
About this book
This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances on Hybrid Approaches for Designing Intelligent Systems
Editors: Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-05170-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05169-7Published: 10 April 2014
Softcover ISBN: 978-3-319-38274-6Published: 03 September 2016
eBook ISBN: 978-3-319-05170-3Published: 26 March 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 721
Number of Illustrations: 355 b/w illustrations
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