Development of a cnn+lstm hybrid neural network for daily pm2.5 prediction

HIGHLIGHTS

• who: Hyun S. Kim et al. from the School of Earth Science and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea have published the article: Development of a CNN+LSTM Hybrid Neural Network for Daily PM2.5 Prediction, in the Journal: Atmosphere 2022, 13, 2124. of /2022/
• how: The input features were obtained from the ground observations and GFS forecast. The promising result of this study indicates that DNN-based models can be utilized as an effective tool for air quality J. K. H.

SUMMARY

PM2 . . .

 



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