Estimating PM2.5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China-Reference-Cited by-同舟云学术

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Estimating PM2.5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China

Published:2021-12 Issue: Volume:225 Page:112772
ISSN:0147-6513
Container-title:Ecotoxicology and Environmental Safety
language:en
Short-container-title:Ecotoxicology and Environmental Safety

Author:

Zhang Ping,Ma Wenjie,Wen Feng,Liu Lei,Yang Lianwei,Song Jia,Wang Ning,Liu Qi

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,General Medicine

Reference85 articles.

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2. Air quality warning system based on a localized PM2.5 soft sensor using a novel approach of Bayesian regularized neural network via forward feature selection;Balram;Ecotoxicol. Environ. Saf.,2019

3. Air quality warning system based on a localized PM2.5 soft sensor using a novel approach of Bayesian regularized neural network via forward feature selection;Balram;Ecotoxicol. Environ. Saf.,2019

4. Augmenting limited background monitoring data for improved performance in land use regression modelling: Using support vector regression and mobile monitoring;Basu;Atmos. Environ.,2019

5. Mapping urban air pollution using GIS: a regression-based approach;Briggs;Int. J. Geogr. Inf. Syst.,1997

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