Prediction and analysis of particulate matter (PM2.5 and PM10) concentrations using machine learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-021-03051-w.pdf
Reference42 articles.
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3. Ayodeji Abiodun, Liu Yong-kuo (2018) SVR optimization with soft computing algorithms for incipient SGTR diagnosis. Ann Nucl Energy 121:89–100. https://doi.org/10.1016/j.anucene.2018.07.011
4. Biancofiore F, et al. (2017) Recursive neural network model for analysis and forecast of PM10 and PM2.5. Atmos Pollut Res 8(4): 652-659. https://doi.org/10.1016/j.apr.2016.12.014
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