Integration of advanced optimization algorithms into least-square support vector machine (LSSVM) for water quality index prediction

Integration of advanced optimization algorithms into least-square support vector machine (LSSVM) for water quality index prediction

Machine learning models hybridized with optimization algorithms have been applied to many real-life applications, including the prediction of water quality. However, the emergence of newly developed advanced algorithms can provide new scopes and possibilities for further enhancements. In this study,...

Full description

Bibliographic Details
Main Authors: See Leng Chia, Min Yan Chia, Chai Hoon Koo, Yuk Feng Huang
Format: Article
Language:English
Published: IWA Publishing 2022-02-01
Series:Water Supply
Subjects:
advanced optimization algorithm
hybrid optimized lssvm model
kernel function
river water quality parameter
water quality index
Online Access:http://ws.iwaponline.com/content/22/2/1951

Internet

http://ws.iwaponline.com/content/22/2/1951

Similar Items