Computational Forecast of PM2.5 Pollution Based on Gas Emission and Traffic Volume Observations
Author:
Affiliation:
1. National Yang Ming Chiao Tung University,Electrical and Computer Engineering,Hsinchu,Taiwan
2. Lam Research,Fremont,USA
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9983535/9983517/09983556.pdf?arnumber=9983556
Reference23 articles.
1. Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
2. Modelling and Forecasting Temporal PM2.5 Concentration Using Ensemble Machine Learning Methods
3. Relationship Between air Pollution and Daily Mortality in a Tropical City: Kaohsiung, Taiwan
4. A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
5. Learning to Forget: Continual Prediction with LSTM
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