Air pollution forecasting based on attention-based LSTM neural network and ensemble learning

Keyphrases

• 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%
• PM2.5 50%
• Multilayer Perceptron 25%
• Neural Network Model 25%
• Pollution 25%
• Spatial-temporal 25%
• Attention Mechanism 25%
• Neighbouring Area 25%
• Wind Direction 25%
• Wind Speed 25%
• Weather Forecasting 25%
• Wind Influence 25%
• Ensemble Learning Method 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%
• Support Vector Regression 25%
• Forecast Information 25%

Earth and Planetary Sciences

• Particular Matter 2.5 100%
• Air Pollution 100%
• Ensemble Learning 100%
• Weather Forecast 33%
• Extreme Gradient Boosting 33%
• Wind Velocity 16%
• Self Organizing Systems 16%
• Wind Direction 16%
• Support Vector Machine 16%
• Weather Forecasting 16%
• Xgboost 16%

Chemical Engineering

• Particular Matter 2.5 100%
• Long Short-Term Memory 100%
• Neural Network 100%
• Long Short-Term Memory Network 100%
• Multilayer Neural Networks 16%
• Support Vector Machine 16%
• Xgboost 16%