A review of artificial neural network models for ambient air pollution prediction

Research activity in the field of air pollution forecasting using artificial neural networks (ANNs) has increased dramatically in recent years. However, the development of ANN models entails levels of uncertainty given the black-box nature of ANNs. In this paper, a protocol by Maier et al. (2010) fo...

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 119; S. 285 - 304
Hauptverfasser:	Cabaneros, Sheen Mclean, Calautit, John Kaiser, Hughes, Ben Richard
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.09.2019 Elsevier Science Ltd
Schlagworte:	Air pollution Air pollution forecasting Artificial neural networks Backpropagation algorithm emissions Forecasting Mathematical models Multilayer perceptron Multilayer perceptrons Neural networks Nitrogen oxides Oxides ozone Particulate matter particulates prediction Protocol (computers) Regression analysis uncertainty Air pollution Multilayer perceptron Backpropagation algorithm Forecasting Artificial neural networks
ISSN:	1364-8152, 1873-6726
Online-Zugang:	Volltext
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