Predicting Beijing Air Quality Using Bayesian Optimized CNN-RNN Hybrid Model
Author:
Affiliation:
1. American School of Warsaw Warsaw,Poland
2. COMAC Shanghai Aircraft Design & Research Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9852496/9852487/09852588.pdf?arnumber=9852588
Reference29 articles.
1. A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN
2. Air Pollution Forecasting Using RNN with LSTM
3. Deep Convolutional Neural Network for Air Quality Prediction
4. Time Series Analysis
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