Forecasting particulate matter concentration using nonlinear autoregression with exogenous input model

BACKGROUND AND OBJECTIVES: Air quality in some developing countries is dominated by particulate matter, especially those with size 10 micrometers and smaller or PM10. They can be inhaled and sometimes can get deep into lungs; some may even get into bloodstream and cause serious health problems. Ther...

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Bibliografiske detaljer

Principais autores:	M.I. Rumaling, F.P. Chee, H.W.J. Chang, C.M. Payus, S.K. Kong, J. Dayou, J. Sentian
Format:	Artigo
Sprog:	Inglês
Udgivet:	GJESM Publisher 2022-10-01
Serier:	Global Journal of Environmental Science and Management
Fag:	artificial neural network (ann) nonlinear autoregression with exogenous input (narx) principal component analysis (pca) rotated component matrix scree plot
Online adgang:	https://www.gjesm.net/article_245403_550c2b0430daafa954d52faca76113b7.pdf
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