Development of a deep neural network for predicting 6-hour average PM2.5 concentrations up to two subsequent days using various training data
| Main Authors: | Jae-Bum Lee, Jeong-Beom Lee, Youn-Seo Koo, Hee-Yong Kwon, Min-Hyeok Choi, Hyun-Ju Park, Dae-Gyun Lee |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2021
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| Online Access: |
https://zenodo.org/record/5652289 |
Daftar Isi:
- Python and Tensorflow used for the development of the prediction model based on DNN. The zip file (DNN-PM) contains all the data and codes.