Accurate Prediction of Concentration Changes in Ozone as an Air Pollutant by Multiple Linear Regression and Artificial Neural Networks

Accurate Prediction of Concentration Changes in Ozone as an Air Pollutant by Multiple Linear Regression and Artificial Neural Networks

This study considers the usage of multilinear regression and artificial neural network modelling to forecast ozone concentrations with regard to weather-related indicators (wind speed, wind direction, relative humidity and temperature). Initial data were obtained by measuring the meteorological para...

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Bibliographic Details
Main Authors: Svajone Bekesiene, Ieva Meidute-Kavaliauskiene, Vaida Vasiliauskiene
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematics
Subjects:
artificial neural networks
multiple linear regression
ozone concentration
meteorological parameters
high-voltage lines
Online Access:https://www.mdpi.com/2227-7390/9/4/356

Internet

https://www.mdpi.com/2227-7390/9/4/356

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