Original paper
Ensemble method based on Artificial Neural Networks to estimate air pollution health risks
Abstract
Estimating of daily hospital admissions due to air pollution is a leading issue in environmental science. To better understand this problem, it is essential to improve the applied methodologies. The use of Generalized Linear Models (GLM) is well known. However, they may be improved using different methods to coefficients estimation and to consider seasonality. Alternative methodologies, rarely applied in such topic, are Artificial Neural...
Paper Details
Title
Ensemble method based on Artificial Neural Networks to estimate air pollution health risks
Published Date
Jan 1, 2020
Volume
123
Pages
104567 - 104567
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