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

Autor: Augusto Rafael Garrido-Arévalo, Victor Garrido-Arévalo, Edgar Quiñones-Bolaños, Nelson Obregón-Neira, Mehrab Mehrvar, Luis Mauricio Agudelo-Otalora, Ciro Fernando Bustillo-Lecompte, Parisa Naraei

Publikováno v: Water; ; Vol. 12 Núm. 7 (2020)
Water
Volume 12
Issue 7
Water, Vol 12, Iss 1973, p 1973 (2020)
Repositorio Institucional UTB
Universidad Tecnológica de Bolívar
instacron:Universidad Tecnológica de Bolívar

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f3234bc650482010639c8bf023ec043
https://hdl.handle.net/20.500.12585/9351