Multi-step prediction of dissolved oxygen in rivers based on random forest missing value imputation and attention mechanism coupled with recurrent neural network

Multi-step prediction of dissolved oxygen in rivers based on random forest missing value imputation and attention mechanism coupled with recurrent neural network

Accurately predicting dissolved oxygen is of great significance to the intelligent management and control of river water quality. However, due to the interference of external factors and the irregularity of its changes, this is still a ticklish problem, especially in multi-step forecasting. This art...

Full description

Bibliographic Details
Main Authors: Juan Huan, Mingbao Li, Xiangen Xu, Hao Zhang, Beier Yang, Jiang Jianming, Bing Shi
Format: Article
Language:English
Published: IWA Publishing 2022-05-01
Series:Water Supply
Subjects:
attention mechanism
dissolved oxygen prediction
missing value interpolation
multi-step prediction
recurrent neural network
rivers
Online Access:http://ws.iwaponline.com/content/22/5/5480

Similar Items

Similar Items