Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution
Reference48 articles.
1. Abdul-Wahab S, Al-Alawi S (2002) Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks. Environ Modell Softw 17:219–228
2. Agency EP (2014) Air pollution: current and future challenges
3. Al-Alawi SM, Abdul-Wahab SA, Bakheit CS (2008) Combining principal component regression and artificial neural networks for more accurate predictions of ground-level ozone. Environ Modell Softw 23:396–403
4. Alkasassbeh M, Sheta AF, Faris H, Turabieh H (2013) Prediction of PM10 and TSP air pollution parameters using artificial neural network autoregressive, external input models: a case study in salt, Jordan. Middle-East J Sci Res 14:999–1009
5. Banan N, Latif MT, Juneng L, Khan MF (2014) An application of artificial neural networks for the prediction of surface ozone concentrations in Malaysia. In: From Sources to Solution, Springer, pp 7–12
Cited by
20 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