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...

Full description

Saved in:

Bibliographic Details
Published in:	Environmental modelling & software : with environment data news Vol. 119; pp. 285 - 304
Main Authors:	Cabaneros, Sheen Mclean, Calautit, John Kaiser, Hughes, Ben Richard
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.09.2019 Elsevier Science Ltd
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!