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Visual-FIR for ozone modeling and prediction

Autor
Nebot, M.; Múgica, V.; Escobet, A.
Tipus d'activitat
Document cientificotècnic
Data
2007-04
Codi
LSI-07-17-R
Repositori
http://hdl.handle.net/2117/87483 Obrir en finestra nova
Resum
Air pollution is one of the most important environmental problems in urban areas, being extremely critical in Mexico City. The main air pollution problem that has been identified in Mexico City metropolitan area is the formation of photochemical smog, primarily ozone. The study and development of modeling methodologies that allow the capturing of time series behavior becomes an important task. The present work aims to develop Fuzzy Inductive Reasoning (FIR) models using the Visual-FIR platform. ...
Citació
Nebot, M., Múgica, V., Escobet, A. "Visual-FIR for ozone modeling and prediction". 2007.
Paraules clau
Hybrid Fuzzy Systems, Environmental Modeling, Long-term Prediction, Ozone Models
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing

Participants

Arxius