Development of an ANN–based air pollution forecasting system with explicit knowledge through sensitivity analysis

Author:

Elangasinghe Madhavi Anushka,Singhal Naresh,Dirks Kim N.,Salmond Jennifer A.

Publisher

Elsevier BV

Subject

Atmospheric Science,Pollution,Waste Management and Disposal

Reference33 articles.

1. PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization;Antanasijevic;Science of the Total Environment,2013

2. Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by monte carlo simulations;Arhami;Environmental Science and Pollution Research,2013

3. The effect of the urban ambient air pollution mix on daily mortality rates in 11 Canadian cities;Burnett;Canadian Journal of Public Health–Revue Canadienne De Sante Publique,1998

4. Carslaw, D.C., 2014. The openair manual — open–source tools for analyzing air pollution data. Manual for version 1.0, King’s College London.

5. Openair – an R package for air quality data analysis;Carslaw;Environmental Modelling & Software,2012

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