Prediction of river water temperature using machine learning algorithms: a tropical river system of India
Machine learning (ML) has been increasingly adopted due to its ability to model complex and non-linearities between river water temperature (RWT) and its predictors (e.g., Air Temperature, AT). Most of these ML approaches have been applied using average AT without any detailed sensitivity analysis o...
Guardado en:
Autores principales: | M. Rajesh, S. Rehana |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IWA Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8e87599fbcb04e42b095638b11ea54c9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Ensemble Feed-Forward Neural Network and Support Vector Machine for Prediction of Multiclass Malaria Infection
por: Opeyemi Aderiike Abisoye, et al.
Publicado: (2021) -
REFERENSI PENUGASAN TENAGA TEKNISI PADA PENANGANAN VARIAN KERUSAKAN MENGGUNAKAN DECISION SUPPORT SYSTEM
por: Aries Setiawan, et al.
Publicado: (2021) -
Analisis Sentimen pada Aplikasi Grab di Google Play Store Menggunakan Support Vector Machine
por: Rizki Wahyudi, et al.
Publicado: (2021) -
Nearest neighbour methods and their applications in design of 5G & beyond wireless networks
por: S.A.R. Zaidi
Publicado: (2021) -
Simulation of ecohydrological processes influencing water supplies in the Tuul River watershed of Mongolia
por: Javzansuren Norvanchig, et al.
Publicado: (2021)