PM2.5 Forecasting Model Using a Combination of Deep Learning and Statistical Feature Selection
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DOI: 10.1109/access.2021.3077574
Abstract: This paper proposed a PM 2.5 forecasting model using Long Short-Term Model (LSTM) sequence to sequence combined with the statistical method. Correlation Analysis, XGBoost, and Chemical processed are used as the methods to select the… read more here.
Keywords: model using; pm2 forecasting; model; forecasting model ... See more keywords