Prediction of daily maximum ozone levels using Lasso sparse modeling method.
Jiaqing LvXiaohong XuPublished in: CoRR (2020)
Keyphrases
- modeling method
- sparse representation
- prediction accuracy
- regularized regression
- elastic net
- hybrid genetic
- fuzzy neural network
- solar radiation
- group lasso
- meteorological data
- generalized linear models
- high speed railway
- linear regression
- model selection
- least squares
- prediction model
- feature selection
- regression model
- air pollution
- control system
- high dimensional