Genetic programming for hydrological applications: To model or to forecast that is the question

Genetic programming for hydrological applications: To model or to forecast that is the question

10.2166/hydro.2021.179

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Bibliographic Details
Main Authors: Herath, Herath Mudiyanselage Viraj Vidura, Chadalawada, Jayashree, Babovic, Vladan
Other Authors: COLLEGE OF DESIGN AND ENGINEERING
Format: Article
Published: IWA Publishing 2022
Subjects:
Machine learning
Rainfall-runoff model induction
Sugawara TANK model
Theory-guided data science
| genetic programming
Online Access:https://scholarbank.nus.edu.sg/handle/10635/233689
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Institution: National University of Singapore
Description
Summary:10.2166/hydro.2021.179

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