Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Prediction of PM2.5 concentrations using fuzzy inductive reasoning in Mexico city

Autor
Nebot, M.; Mugica, F.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Any de l'edició
2012
Data de presentació
2012
Llibre d'actes
Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications: Rome, Italy, 28-31 July, 2012
Pàgina inicial
527
Pàgina final
533
Resum
The research presented in this paper is focused on the study and development of fuzzy inductive reasoning models that allow the forecasting of daily particulate matter with diameter of 2.5 micrometres or less (PM2.5). FIR offers a model-based approach to modelling and predicting either univariate or multivariate time series. In this research, predictions of PM2.5 concentration at hour 12 of the next day, in the downtown of Mexico City Metropolitan Area, are performed. The data were registered ev...
Paraules clau
Air pollution prediction, Fuzzy inductive reasoning (FIR), PM2.5 pollution, Time series analysis
Grup de recerca
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

Participants