Developing robust nonlinear models through bootstrap aggregated deep belief networks
Deep belief network (DBN) has recently emerged as a powerful tool in building nonlinear data driven models. However, a single DBN model can still lack reliability especially when the amount of data available for modelling is limited. This paper proposes a bootstrap aggregated deep belief network (BA...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2020-12-01
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| Series: | AIMS Electronics and Electrical Engineering |
| Subjects: | |
| Online Access: | http://www.aimspress.com/article/10.3934/ElectrEng.2020.3.287?viewType=HTML |