Hybrid NSGA-II Optimization for Improving the Three-Term BP Network for Multiclass Classification Problems
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...
Saved in:
Main Authors: | Ibrahim, Ashraf Osman, Shamsuddin, Siti Mariyam, Qasem, Sultan Noman |
---|---|
格式: | Article |
语言: | English |
出版: |
Universiti Utara Malaysia Press
2015
|
主题: | |
在线阅读: | https://repo.uum.edu.my/id/eprint/30412/1/JICT%2014%2000%202015%2021-38.pdf https://repo.uum.edu.my/id/eprint/30412/ https://e-journal.uum.edu.my/index.php/jict/article/view/8154 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Hybrid NSGA-II optimization for improving the three-term BP network for multiclass classification problems
由: Ashraf Osman, Ibrahim, et al.
出版: (2015) -
Hybrib NSGA-II optimization for improving the three-term BP network for multiclass classification problems
由: Ibrahim, Ashraf Osman, et al.
出版: (2015) -
Hybrid radial basis function network for classification problems
由: Shamsuddin, Siti Mariyam, et al.
出版: (2009) -
Multi objective genetic algorithm for training three term backpropagation network
由: Osman Ibrahim, Ashraf, et al.
出版: (2013) -
Memetic multi-objective evolutionary algorithms of radial basis function network for classification problems
由: Qasem, Sultan Noman
出版: (2011)