A Novel Hybrid Machine Learning Method (OR-ELM-AR) Used in Forecast of PM<sub>2.5</sub> Concentrations and Its Forecast Performance Evaluation

A Novel Hybrid Machine Learning Method (OR-ELM-AR) Used in Forecast of PM<sub>2.5</sub> Concentrations and Its Forecast Performance Evaluation

Accurate forecast of PM<sub>2.5</sub> pollution is highly needed for the timely prevention of haze pollution in many cities suffered from frequent haze pollution. In this work, an online recurrent extreme learning machine (OR-ELM) technique with online data update was used in the forecas...

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Bibliographic Details
Main Authors: Guibin Lu, Enping Yu, Yangjun Wang, Hongli Li, Dongpo Cheng, Ling Huang, Ziyi Liu, Kasemsan Manomaiphiboon, Li Li
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Atmosphere
Subjects:
extreme learning machine
OR-ELM-AR
PM<sub>2.5</sub>
forecast performance
time-series features
emergency prevention
Online Access:https://www.mdpi.com/2073-4433/12/1/78

Internet

https://www.mdpi.com/2073-4433/12/1/78

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