Application of artificial neural network and information entropy theory to assess rainfall station distribution: A case study from Colombia

An assessment of the rainfall station distribution in the mountainous area of the Regional Autonomous Corporation of Cundinamarca (CAR, for its acronym in Spanish), Colombia, was conducted by applying concepts from information entropy and artificial neural networks (ANNs). This study was divided int...

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Autores:
Garrido Arévalo, Augusto Rafael
Agudelo-Otálora, Luis Mauricio
Obregón-Neira, Nelson
Garrido Arévalo, Víctor Manuel
Quiñones-Bolaños, Edgar Eduardo
Naraei, Parisa
Mehrvar, Mehrab
Bustillo-Lecompte, Ciro Fernando
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/9351
Acceso en línea:
https://hdl.handle.net/20.500.12585/9351
https://www.mdpi.com/2073-4441/12/7/1973
Palabra clave:
Hydrology
Rainfall
Artificial neural networks
Information entropy
Clustering process
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc/4.0/