Jiangsu University of Science and Technology Reports Findings in Machine Learnin g [Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models]

Robotics & Machine Learning Daily News2024，Issue(Oct.10) ：45-45.

来源：

NETL
NSTL

Jiangsu University of Science and Technology Reports Findings in Machine Learnin g [Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models]

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Zhenjiang, P eople’s Republic of China, by NewsRx correspondents, research stated, “The Water Quality Index (WQI) provides comprehensive assessments in river systems; howeve r, its calculation involves numerous water quality parameters, costly in sample collection and laboratory analysis. The study aimed to determine key water param eters and the most reliable models, considering seasonal variations in the water environment, to maximize the precision of WQI prediction by a minimal set of wa ter parameters.”

Key words

Zhenjiang/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航