Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets
Imbalanced class data is a common issue faced in classification tasks. Deep Belief Networks (DBN) is a promising deep learning algorithm when learning from complex feature input. However, when handling imbalanced class data, DBN encounters low performance as other machine learning algorithms. In thi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2019-07-01
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| Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
| Online Access: | http://ijain.org/index.php/IJAIN/article/view/350 |