A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction
Joint Authors
Li, Jiangeng
Shao, Xingyang
Sun, Rihui
Source
Journal of Control Science and Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
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 deep belief network (DBN), is proposed for forecasting of nonlinear systems and tested on the forecast of air quality time series.
MTL-DBN-DNN model can solve several related prediction tasks at the same time by using shared information contained in the training data of different tasks.
In the model, DBN is used to learn feature representations.
Each unit in the output layer is connected to only a subset of units in the last hidden layer of DBN.
Such connection effectively avoids the problem that fully connected networks need to juggle the learning of each task while being trained, so that the trained networks cannot get optimal prediction accuracy for each task.
The sliding window is used to take the recent data to dynamically adjust the parameters of the MTL-DBN-DNN model.
The MTL-DBN-DNN model is evaluated with a dataset from Microsoft Research.
Comparison with multiple baseline models shows that the proposed MTL-DBN-DNN achieve state-of-art performance on air pollutant concentration forecasting.
American Psychological Association (APA)
Li, Jiangeng& Shao, Xingyang& Sun, Rihui. 2019. A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction. Journal of Control Science and Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1172512
Modern Language Association (MLA)
Li, Jiangeng…[et al.]. A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction. Journal of Control Science and Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1172512
American Medical Association (AMA)
Li, Jiangeng& Shao, Xingyang& Sun, Rihui. A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction. Journal of Control Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1172512
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172512