大葉大學圖書館 |

Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.33
書名/作者:	Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization/ edited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk.
其他作者:	Melin, Patricia.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xii, 637 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy logic.
標題:	Neural networks (Computer science)
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Optimization.
標題:	Control, Robotics, Mechatronics.
ISBN:	9783319177472 (electronic bk.)
ISBN:	9783319177465 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-17747-2

Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization[electronic resource] /
Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization[electronic resource] /edited by Patricia Melin, Oscar Castillo, Janusz Kacprzyk. - Cham :Springer International Publishing :2015. - xii, 637 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.6011860-949X ;. - Studies in computational intelligence ;v.379..

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 (electronic bk.)

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

182737
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 006.33

Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization[electronic resource] /
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520 $a 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.
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