Prediction Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review

Prediction Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review

Despite the wide applications of artificial neural networks (ANNs) in modeling hydro-climatic processes, quantification of the ANNs’ performance is a significant matter. Sustainable management of water resources requires information about the amount of uncertainty involved in the modeling results, w...

Full description

Bibliographic Details
Main Authors: Vahid Nourani, Nardin Jabbarian Paknezhad, Hitoshi Tanaka
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sustainability
Subjects:
artificial neural network
uncertainty
sustainability
prediction intervals
Online Access:https://www.mdpi.com/2071-1050/13/4/1633

Internet

https://www.mdpi.com/2071-1050/13/4/1633

Similar Items