HYBRID NSGA-II OPTIMIZATION FOR IMPROVING THE THREE-TERM BP NETWORK FOR MULTICLASS CLASSIFICATION PROBLEMS

HYBRID NSGA-II OPTIMIZATION FOR IMPROVING THE THREE-TERM BP NETWORK FOR MULTICLASS CLASSIFICATION PROBLEMS

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Recently, hybrid algorithms have received considerable attention from a number of researchers. This paper presents a hybrid of the multiobjective evolutionary algorithm to gain a better accuracy of the fi nal solutions. The aim of using the hybrid algorithm is to improve the multiobjective evolution...

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Bibliographic Details
Main Authors: Ashraf Osman Ibrahim, Siti Mariyam Shamsuddin, Sultan Noman Qasem
Format: Article
Language:English
Published: UUM Press 2015-04-01
Series:Journal of ICT
Subjects:
Artificial Neural Network
hybridization technique
genetic algorithm
NSGA-II
multiobjective optimization
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/8154

Internet

https://e-journal.uum.edu.my/index.php/jict/article/view/8154

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