A Feature Selection Method for Air Quality Forecasting [chapter]

Luca Mesin, Fiammetta Orione, Riccardo Taormina, Eros Pasero
2010 Lecture Notes in Computer Science  
A feature selection method for air quality forecasting / Mesin L.; Orione F.; Taormina R.; Pasero E. Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual information criterion is used to select the regressors which carry the maximal non redundant information to be used to build a prediction model. An application is shown regarding the forecast of PM10 concentration with one day
more » ... advance, based on the selected features feeding an artificial neural network.
doi:10.1007/978-3-642-15825-4_66 fatcat:fgxunowjgfawpmxidhxuxqxdty