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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization/ edited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk.
other author:	Melin, Patricia.
Description:	XII, 637 p. 307 illus., 226 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-17747-2
ISBN:	9783319177472

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization[electronic resource] /edited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk. - 1st ed. 2015. - XII, 637 p. 307 illus., 226 illus. in color.online resource. - Studies in Computational Intelligence,6011860-949X ;. - Studies in Computational Intelligence,564.

Part I Fuzzy Logic Theory -- Part II Neural Networks Theory -- Part III Neural Networks Applications -- Part IV Nature Inspired Optimization -- Part V Nature Inspired Optimization Applications -- Part VI Optimization: Theory and Applications -- Part VII Fuzzy Logic Applications -- Part VIII Fuzzy Logic and Metaheuristic.

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.

ISBN: 9783319177472

Standard No.: 10.1007/978-3-319-17747-2doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
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