Urban River Dissolved Oxygen Prediction Model Using Machine Learning

Urban River Dissolved Oxygen Prediction Model Using Machine Learning

This study outlines the preliminary stages of the development of an algorithm to predict the optimal WQ of the Hwanggujicheon Stream. In the first stages, we used the AdaBoost algorithm model to predict the state of WQ, using data from the open artificial intelligence (AI) hub. The AdaBoost algorith...

Full description

Bibliographic Details
Main Authors: Juhwan Moon, Jaejoon Lee, Sangwon Lee, Hongsik Yun
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Water
Subjects:
artificial intelligence
prediction
dissolved oxygen
water
Online Access:https://www.mdpi.com/2073-4441/14/12/1899

Internet

https://www.mdpi.com/2073-4441/14/12/1899

Similar Items