Yutao Chen
ABSTRACT
A method of air quality prediction based on deep learning is proposed in this paper, that is an air quality prediction model combining bidirectional gated recurrent unit and attention mechanism. Taking cities with air quality monitoring stations as reference, the change trend of air quality index in the future is predicted by analyzing and processing the historical values of PM2.5, PM10, SO2, NO2, O3, CO in the past five years. The experimental results show that the model has good results in the mean absolute percentage error, mean absolute error and root mean square error of air quality prediction, and the model can effectively improve the data accuracy and stability of urban air quality prediction.
- Huang Runqiu.2019 Bulletin of Chinese Ecological Environment [R]. Beijing: Ministry of Ecology and Environment, PRC,2020.Google Scholar
- Tang Zhixiang. Research and Implementation of Air quality prediction based on BP Neural Network [D]. Xidian University,2018.Google Scholar
- C. Zhang and D. Yuan. Fast Fine-Grained Air Quality Index Level Prediction Using Random Forest Algorithm on Cluster Computing of Spark. 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and Intl Conf on Autonomic and Trusted Computing and Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), Beijing, 2015.Google Scholar
- W. Zhenghua and T. Zhihui. Prediction of Air Quality Index Based on Improved Neural Network[C]. 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC), Dalian, 2017.Google ScholarCross Ref
- R.D.Dua,D.M.Madaan,P.M.Mukherjee and B.L.Lall. Real Time Attention Based Bidirectional Long Short-Term Memory Networks for Air Pollution Forecasting[C]. 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService), Newark, CA, USA, 2019, pp.151-158.Google ScholarCross Ref
- B. Wang, W. Kong, H. Guan and N. N. Xiong. Air Quality Forecasting Based on Gated Recurrent Long Short Term Memory Model in Internet of Things[J]. IEEE Access, vol. 7, pp. 69524-69534, 2019.Google ScholarCross Ref
- B. Liu A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction[J]. IEEE Access, vol. 7, pp. 43331-43345, 2019.Google ScholarCross Ref
- Chaudhari S, Polatkan G, Ramanath R, An attentive survey of attention models[J]. 2019.Google Scholar
- A. Juneja and N. N. Das. Big Data Quality Framework: Pre-Processing Data in Weather Monitoring Application[C]. 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India, 2019, pp. 559-563.Google ScholarCross Ref
- Scheffel J, Lindvall K, Yik H F. A time-spectral approach to numerical weather prediction[J]. Computer Physics Communications, 2018.Google ScholarCross Ref
- Y. Jiao, Z. Wang and Y. Zhang. Prediction of Air Quality Index Based on LSTM[C]. 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, 2019, pp. 17-20.Google ScholarCross Ref
- Q. Tao, F. Liu, Y. Li and D. Sidorov. Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU[J]. IEEE Access, vol. 7, pp. 76690-76698, 2019Google ScholarCross Ref
Index Terms
- Research on Air Quality Prediction Model Based on Bidirectional Gated Recurrent Unit and Attention Mechanism
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