Prediction of PM2.5 concentrations several hours in advance using neural networks in Santiago, Chile-Reference-Cited by-同舟云学术

Prediction of PM2.5 concentrations several hours in advance using neural networks in Santiago, Chile

Published:2000-01 Issue:8 Volume:34 Page:1189-1196
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Pérez Patricio,Trier Alex,Reyes Jorge

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference17 articles.

1. The analysis of observed chaotic data in physical systems;Abarbanel;Rev. Mod. Phys.,1993

2. Environmental Physics;Boeker,1995

3. Mortality and ambient fine particles in southwest Mexico City, 1993–1995;Borja-Aburto;Environ Health Perspect,1998

4. A neural network-based method for short term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain;Boznar;Atmospheric Environment,1993

5. Effects of particulate and gaseous air pollution on cardiorespiratory hospitalizations;Burnett;Archives of Environment Health,1999

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