Air Pollution Forecasting Using LSTM-Multivariate Regression Model.
Satheesh AbimannanYue-Shan ChangChi-Yeh LinPublished in: IOV (2019)
Keyphrases
- regression model
- air pollution
- support vector regression
- prediction model
- air quality
- traffic volume
- multivariate regression
- regression methods
- short term
- recurrent neural networks
- forecasting model
- kernel regression
- model selection
- regression analysis
- gaussian process
- explanatory variables
- prediction intervals
- linear regression model
- generalized linear models
- locally weighted
- linear model
- regression trees
- predictor variables
- bp neural network
- logistic regression models
- machine learning
- independent variables
- probability distribution
- long term