Overview
Explores the theory, design principles and applications of hybrid intelligent systems that use type-2 fuzzy sets in combination with other paradigms of Soft Computing technology, such as Neuro-Computing and Evolutionary Computing
Provides a comprehensive examination of type-2 fuzzy neural networks and its applications in control, forecasting, decision making and system identification
Includes source code in C# for implementing one of the outlined examples of a fuzzy type-2 neural network
Includes supplementary material: sn.pub/extras
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Table of contents (5 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Type-2 Fuzzy Neural Networks and Their Applications
Authors: Rafik Aziz Aliev, Babek Ghalib Guirimov
DOI: https://doi.org/10.1007/978-3-319-09072-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-09071-9Published: 19 September 2014
Softcover ISBN: 978-3-319-38159-6Published: 10 September 2016
eBook ISBN: 978-3-319-09072-6Published: 08 September 2014
Edition Number: 1
Number of Pages: XIII, 190
Number of Illustrations: 73 b/w illustrations
Topics: Artificial Intelligence, Computational Intelligence, Mathematical Models of Cognitive Processes and Neural Networks