A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing

A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing

Data-driven algorithms have been widely used as effective tools to mimic hydrologic systems. Unlike black-box models, decision tree algorithms offer transparent representations of systems and reveal useful information about the underlying process. A popular class of decision tree models is model tre...

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Bibliographic Details
Main Authors: Matin Rahnamay Naeini, Tiantian Yang, Ahmad Tavakoly, Bita Analui, Amir AghaKouchak, Kuo-lin Hsu, Soroosh Sorooshian
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Water
Subjects:
decision tree
model tree
Reservoir Simulation
data mining
Classification And Regression Tree (CART)
Online Access:https://www.mdpi.com/2073-4441/12/9/2373

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