Assessing Objective Functions in Streamflow Prediction Model Training Based on the Naïve Method

Assessing Objective Functions in Streamflow Prediction Model Training Based on the Naïve Method

Reliable streamflow forecasting is a determining factor for water resource planning and flood control. To better understand the strengths and weaknesses of newly proposed methods in streamflow forecasting and facilitate comparisons of different research results, we test a simple, universal, and effi...

Full description

Bibliographic Details
Main Authors: Yongen Lin, Dagang Wang, Tao Jiang, Aiqing Kang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Water
Subjects:
streamflow prediction
objective function
machine learning
deep learning
Online Access:https://www.mdpi.com/2073-4441/16/5/777

Internet

https://www.mdpi.com/2073-4441/16/5/777

Similar Items