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...
出版年: | Atmospheric Environment |
---|---|
第一著者: | |
フォーマット: | 論文 |
言語: | English |
出版事項: |
2013
|
オンライン・アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879735938&doi=10.1016%2fj.atmosenv.2013.05.017&partnerID=40&md5=84c0cd74ad41648f337f1baece74a707 |