Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting
(2022)
Journal Article
Cabaneros, S. M., & Hughes, B. (2022). Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting. Environmental modelling & software : with environment data news, 158, Article 105529. https://doi.org/10.1016/j.envsoft.2022.105529
The use of data-driven techniques such as artificial neural network (ANN) models for outdoor air pollution forecasting has been popular in the past two decades. However, research activity on the uncertainty surrounding the development of ANN models h... Read More about Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting.