Qiu, X and Zhang, L and Ren, Y and Suganthan, P and Amaratunga, G (2014) Ensemble deep learning for regression and time series forecasting. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In this paper, for the first time, an ensemble of deep learning belief networks (DBN) is proposed for regression and time series forecasting. Another novel contribution is to aggregate the outputs from various DBNs by a support vector regression (SVR) model. We show the advantage of the proposed method on three electricity load demand datasets, one artificial time series dataset and three regression datasets over other benchmark methods.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Subjects: | UNSPECIFIED |
Divisions: | Div B > Electronics, Power & Energy Conversion |
Depositing User: | Cron Job |
Date Deposited: | 17 Jul 2017 19:41 |
Last Modified: | 13 Apr 2021 07:52 |
DOI: | 10.1109/CIEL.2014.7015739 |