Forecasting human exposure to PM10 at the national level using an artificial neural network approach-Reference-Cited by-同舟云学术

Forecasting human exposure to PM10 at the national level using an artificial neural network approach

Published:2013-05-13 Issue:6 Volume:27 Page:170-177
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Antanasijević Davor Z.¹,Ristić Mirjana Đ.²,Perić-Grujić Aleksandra A.²,Pocajt Viktor V.²

Affiliation:

1. Innovation Center of the Faculty of Technology and Metallurgy; University of Belgrade; Karnegijeva 4; 11120; Belgrade; Serbia

2. Faculty of Technology and Metallurgy; University of Belgrade; Karnegijeva 4; 11120; Belgrade; Serbia

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Reference38 articles.

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3. Health Effects Institute Airborne Particles and Health: HEI Epidemiologic Evidence. HEI Perspectives 2001

4. Pandey D Wheeler D Ostro B Deichmann U Hamilton K Bolt K Ambient particulate matter concentrations in residential and pollution hotspot areas of world cities: new estimates based on the Global Model of Ambient Particulates (GMAPS) 2006

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