Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods

S Bayram, H Çıtakoğlu - Environmental Monitoring and Assessment, 2023 - Springer
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …
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Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods.

S Bayram, H Çıtakoğlu - Environmental Monitoring and Assessment, 2022 - europepmc.org
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …

Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods

S Bayram, H Çıtakoğlu - Environmental monitoring and …, 2022 - pubmed.ncbi.nlm.nih.gov
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …

[引用][C] Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods

S Bayram, H Çıtakoğlu - Environmental Monitoring and …, 2023 - ui.adsabs.harvard.edu
Modeling monthly reference evapotranspiration process in Turkey: application of machine
learning methods - NASA/ADS Now on home page ads icon ads Enable full ADS view …

Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods

S Bayram, H Çıtakoğlu - Environmental Monitoring and …, 2023 - search.proquest.com
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …

Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods.

S Bayram, H Çıtakoğlu - Environmental Monitoring & …, 2023 - search.ebscohost.com
In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …