Application of computational intelligence techniques to forecast daily PM 10 exceedances in Brunei Darussalam-Reference-Cited by-同舟云学术

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Application of computational intelligence techniques to forecast daily PM 10 exceedances in Brunei Darussalam

Published:2018-03 Issue:2 Volume:9 Page:358-368
ISSN:1309-1042
Container-title:Atmospheric Pollution Research
language:en
Short-container-title:Atmospheric Pollution Research

Author:

Dotse Sam-Quarcoo,Petra Mohammad Iskandar,Dagar Lalit,De Silva Liyanage C.

Funder

Universiti Brunei Darussalam

Publisher

Elsevier BV

Subject

Atmospheric Science,Pollution,Waste Management and Disposal

Reference38 articles.

1. Statistical estimation of dose-response functions of respiratory diseases and societal costs of haze-related air pollution in Brunei Darussalam;Anaman;Pure Appl. Geophys.,2003

2. PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization;Antanasijević;Sci. Total Environ.,2013

3. Garf: towards self-optimised random forests;Bader-El-Den,2012

4. Random forests;Breiman;Mach. Learn.,2001

5. Classification and Regression Trees;Breiman,1984

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