Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forcasting AQI and PM10 and evaluating health impacts through AirQ+ (case study: Tehran)-Reference-Cited by-同舟云学术

Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forcasting AQI and PM10 and evaluating health impacts through AirQ+ (case study: Tehran)

Published:2023-12 Issue: Volume:338 Page:122623
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Shams Seyedeh Reyhaneh,Kalantary Saba,Jahani Ali,Parsa Shams Seyed Mohammad,Kalantari Behrang,Singh Deveshwar,Moeinnadini Mazaher,Choi Yunsoo

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

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