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.

1. Combining deterministic and statistical approaches for PM10 forecasting in Europe;Konovalov;Atmos. Environ.,2009

2. Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe;European Commission;OJEU,2008

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

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial and Temporal Variations on Air Quality Prediction Using Deep Learning Techniques;Cybernetics and Information Technologies;2023-11-01

2. Machine learning techniques for estimating wave-overtopping discharges at coastal structures;Ocean Engineering;2023-04

3. Assessment of Using Artificial Neural Network and Support Vector Machine Techniques for Predicting Wave-Overtopping Discharges at Coastal Structures;Journal of Marine Science and Engineering;2023-03-02

4. Artificial Neural Networks for Modelling and Predicting Urban Air Pollutants: Case of Lithuania;Sustainability;2022-02-21

5. Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review;Waste Management;2021-04