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Fuzzy logic hybrid extensions of neu...

Castillo, Oscar.

Fuzzy logic hybrid extensions of neural and optimization algorithmstheory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy logic hybrid extensions of neural and optimization algorithmsedited by Oscar Castillo, Patricia Melin.
其他題名:	theory and applications /
其他作者:	Castillo, Oscar.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	ix, 383 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Soft computing.
電子資源:	https://doi.org/10.1007/978-3-030-68776-2
ISBN:	9783030687762$q(electronic bk.)

Fuzzy logic hybrid extensions of neural and optimization algorithmstheory 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. 216..

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$q(electronic bk.)

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

182083
Soft computing.

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

Dewey Class. No.: 006.3

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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.
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