A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting

A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting

Abstract This paper proposes a hybridized model for air quality forecasting that combines the Support Vector Regression (SVR) method with Harris Hawks Optimization (HHO) called (HHO-SVR). The proposed HHO-SVR model utilizes five datasets from the environmental protection agency’s Downscaler Model (D...

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Bibliographic Details
Main Authors: Essam H. Houssein, Meran Mohamed, Eman M. G. Younis, Waleed M. Mohamed
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Support Vector Regression (SVR)
Particulate Matter
Air Quality
Metaheuristics
Harris Hawks Optimization (HHO)
Online Access:https://doi.org/10.1038/s41598-025-86275-6
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https://doi.org/10.1038/s41598-025-86275-6

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