A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction

To avoid the adverse effects of severe air pollution on human health, we need accurate real-time air quality prediction. In this paper, for the purpose of improve prediction accuracy of air pollutant concentration, a deep neural network model with multitask learning (MTL-DBN-DNN), pretrained by a de...

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Bibliographic Details
Main Authors: Jiangeng Li, Xingyang Shao, Rihui Sun
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2019/5304535
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