Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)

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Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)

Future PM10 concentration prediction is very important because it can help local authorities to enact preventative measures to reduce the impact of air pollution. The aims of this study are to improve prediction of Multiple Linear Regression (MLR) and Feedforward backpropagation (FFBP) by combining...

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Bibliographic Details
Published in:	Atmospheric Environment
Main Author:	Ul-Saufie A.Z.; Yahaya A.S.; Ramli N.A.; Rosaida N.; Hamid H.A.
Format:	Article
Language:	English
Published:	2013
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879735938&doi=10.1016%2fj.atmosenv.2013.05.017&partnerID=40&md5=84c0cd74ad41648f337f1baece74a707

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