Prediction of Ozone Concentration in Ambient Air Using Multilinear Regression and the Artificial Neural Networks Methods
Author:
Affiliation:
1. Technical Faculty in Bor, University of Belgrade, Bor 19210, Serbia
Publisher
Informa UK Limited
Subject
Environmental Chemistry,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/01919512.2019.1598844
Reference27 articles.
1. Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks
2. Systematic Approach for the Prediction of Ground-Level Air Pollution (around an Industrial Port) Using an Artificial Neural Network
3. Comparative assessment of neural networks and regression models for forecasting summertime ozone in Athens
4. Comparing Neural Networks and Regression Models for Ozone Forecasting
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