Estimation of missing data of monthly rainfall in southwestern Colombia using artificial neural networks

The success of many projects linked to the management and planning of water resources depends mainly on the quality of the climatic and hydrological data that is provided. Nevertheless, the missing data are frequently found in hydroclimatic variables due to measuring instrument failures, observation...

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Detalles Bibliográficos
Autores principales: Canchala-Nastar, Teresita, Carvajal-Escobar, Yesid, Alfonso-Morales, Wilfredo, Loaiza Cerón, Wilmar, Caicedo, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811873/
https://www.ncbi.nlm.nih.gov/pubmed/31667280
http://dx.doi.org/10.1016/j.dib.2019.104517

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811873/
https://www.ncbi.nlm.nih.gov/pubmed/31667280
http://dx.doi.org/10.1016/j.dib.2019.104517

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