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Fuzzy logic hybrid extensions of neu...

Castillo, Oscar.

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Fuzzy logic hybrid extensions of neural and optimization algorithms = theory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy logic hybrid extensions of neural and optimization algorithms/ edited by Oscar Castillo, Patricia Melin.
Reminder of title:	theory and applications /
other author:	Castillo, Oscar.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	ix, 383 p. :ill., digital ;24 cm.
[NT 15003449]:	Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters -- Optimization of the Internet Shopping Problem with Shipping Costs -- Multiobjective Algorithms Performance When Solving CEC09 Test Instances -- Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market.
Contained By:	Springer Nature eBook
Subject:	Soft computing. -
Online resource:	https://doi.org/10.1007/978-3-030-68776-2
ISBN:	9783030687762

Fuzzy logic hybrid extensions of neural and optimization algorithms = theory and applications /
Fuzzy logic hybrid extensions of neural and optimization algorithmstheory and applications /[electronic resource] :edited by Oscar Castillo, Patricia Melin. - Cham :Springer International Publishing :2021. - ix, 383 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9401860-949X ;. - Studies in computational intelligence ;v.940..

Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters -- Optimization of the Internet Shopping Problem with Shipping Costs -- Multiobjective Algorithms Performance When Solving CEC09 Test Instances -- Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market.

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.

ISBN: 9783030687762

Standard No.: 10.1007/978-3-030-68776-2doiSubjects--Topical Terms:

563033
Soft computing.

LC Class. No.: QA76.9.S63 / F899 2021

Dewey Class. No.: 006.3

Fuzzy logic hybrid extensions of neural and optimization algorithms = theory and applications /
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245 0 0 $a Fuzzy logic hybrid extensions of neural and optimization algorithms $h [electronic resource] : $b theory and applications / $c edited by Oscar Castillo, Patricia Melin.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a ix, 383 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.940
505 0 $a Multi-objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters -- Optimization of the Internet Shopping Problem with Shipping Costs -- Multiobjective Algorithms Performance When Solving CEC09 Test Instances -- Analysis of the Efficient Frontier of the Portfolio Selection Problem Instance of the Mexican Capital Market.
520 $a We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.
650 0 $a Soft computing. $3 563033
650 0 $a Fuzzy logic. $3 532071
650 0 $a Neural networks (Computer science) $3 532070
650 0 $a Mathematical optimization. $3 517763
650 0 $a Algorithms. $3 536374
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Castillo, Oscar. $3 855557
700 1 $a Melin, Patricia. $3 855558
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v.940. $3 3493012
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)