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New perspectives on hybrid intellige...

Castillo, Oscar.

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New perspectives on hybrid intelligent system design based on fuzzy logic, neural networks and metaheuristics

Record Type:	Electronic resources : Monograph/item
Title/Author:	New perspectives on hybrid intelligent system design based on fuzzy logic, neural networks and metaheuristics/ edited by Oscar Castillo, Patricia Melin.
other author:	Castillo, Oscar.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xii, 483 p. :ill., digital ;24 cm.
[NT 15003449]:	Automated Medical Diagnosis & Classification of Skin Diseases Using Efficinetnet-B0 Convolutional Neural Network -- Modular Approach for Neural Networks in medical image classi-fication with enhanced fuzzy integration -- Clustering and prediction of time series for traffic accidents using a nested layered artificial neural network model.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-08266-5
ISBN:	9783031082665

New perspectives on hybrid intelligent system design based on fuzzy logic, neural networks and metaheuristics
New perspectives on hybrid intelligent system design based on fuzzy logic, neural networks and metaheuristics[electronic resource] /edited by Oscar Castillo, Patricia Melin. - Cham :Springer International Publishing :2022. - xii, 483 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10501860-9503 ;. - Studies in computational intelligence ;v. 1050..

Automated Medical Diagnosis & Classification of Skin Diseases Using Efficinetnet-B0 Convolutional Neural Network -- Modular Approach for Neural Networks in medical image classi-fication with enhanced fuzzy integration -- Clustering and prediction of time series for traffic accidents using a nested layered artificial neural network model.

In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to 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 techniques. 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 offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. 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 and classification problems.

ISBN: 9783031082665

Standard No.: 10.1007/978-3-031-08266-5doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335 / .N48 2022

Dewey Class. No.: 006.3

New perspectives on hybrid intelligent system design based on fuzzy logic, neural networks and metaheuristics
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300 $a xii, 483 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1050
505 0 $a Automated Medical Diagnosis & Classification of Skin Diseases Using Efficinetnet-B0 Convolutional Neural Network -- Modular Approach for Neural Networks in medical image classi-fication with enhanced fuzzy integration -- Clustering and prediction of time series for traffic accidents using a nested layered artificial neural network model.
520 $a In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to 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 techniques. 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 offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. 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 and classification problems.
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650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Castillo, Oscar. $3 855557
700 1 $a Melin, Patricia. $3 855558
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)