A method based on improved ant colony algorithm feature selection combined with GWO-SVR model for predicting chlorophyll-a concentration in Wuliangsu Lake

A method based on improved ant colony algorithm feature selection combined with GWO-SVR model for predicting chlorophyll-a concentration in Wuliangsu Lake

Chlorophyll-a (Chl-a) is an important parameter in water bodies. Due to the complexity of optics in water bodies, it is difficult to accurately predict Chl-a concentrations in water bodies by current traditional methods. In this paper, using Sentinel-2 remote sensing images as the data source combin...

Full description

Bibliographic Details
Main Authors: Chenhao Wu, Xueliang Fu, Honghui Li, Hua Hu, Xue Li, Liqian Zhang
Format: Article
Language:English
Published: IWA Publishing 2024-01-01
Series:Water Science and Technology
Subjects:
chlorophyll-a
gray wolf optimization algorithm
improved ant colony optimization algorithm
sentinel-2
support vector regression
wuliangsu lake
Online Access:http://wst.iwaponline.com/content/89/1/20

Internet

http://wst.iwaponline.com/content/89/1/20

Similar Items