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Air pollution forecasting based on attention-based LSTM neural network and ensemble learning
Duen-Ren Liu
*
,
Hero SJ Lee
, Yang Huang, Chien Ju Chiu
*
此作品的通信作者
資訊管理研究所
科技管理研究所
研究成果
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同行評審
68
引文 斯高帕斯(Scopus)
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Keyphrases
Attention-based
100%
Neural Network Learning
100%
Ensemble Learning
100%
Neural Ensemble
100%
Long Short-term Memory Neural Network
100%
Air Pollution Forecasting
100%
PM2.5 Concentration
75%
Air Pollution
75%
Particulate Matter 2.5 (PM2.5)
50%
Multilayer Perceptron
25%
Neural Network Model
25%
Pollution
25%
Attention Mechanism
25%
Neighbouring Area
25%
Wind Direction
25%
Least Squares Support Vector Regression (LSSVR)
25%
Wind Speed
25%
Weather Forecasting
25%
Wind Influence
25%
Ensemble Learning Method
25%
Forecast Data
25%
Weather Forecast
25%
Air Pollution Prediction
25%
Extreme Gradient Boosting Algorithm
25%
Phase Prediction
25%
Global Concern
25%
PM2.5 Data
25%
Extreme Gradient Boosting(XGBoost)
25%
Weather Forecast Data
25%
Data Forecast
25%
Engineering
Particular Matter 2.5
100%
Long Short-Term Memory
100%
Air Pollution
100%
Illustrates
16%
Network Model
16%
Good Result
16%
Perceptron
16%
Support Vector Machine
16%
Remediation
16%
Chemical Engineering
Particular Matter 2.5
100%
Long Short-Term Memory
100%
Neural Network
100%
Multilayer Neural Networks
16%
Support Vector Machine
16%
Mathematics
Neural Network
100%
Neural Ensemble
100%
Support Vector Machine
25%
Network Model
25%
Multilayer Perceptron
25%