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

Genetic programming (GP) is a widely used machine learning (ML) algorithm that has been applied in water resources science and engineering since its conception in the early 1990s. However, similar to other ML applications, the GP algorithm is often used as a data fitting tool rather than as a model...

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Auteurs principaux: Herath Mudiyanselage Viraj Vidura Herath, Jayashree Chadalawada, Vladan Babovic
Format: article
Langue:EN
Publié: IWA Publishing 2021
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Accès en ligne:https://doaj.org/article/d711d7302fe54ce1a470f710110acec0
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