Application of Artificial Neural Network and Information Entropy Theory to Assess Rainfall Station Distribution: A Case Study from Colombia

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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Bibliographic Details
Main Authors: Augusto Rafael Garrido-Arévalo, Luis Mauricio Agudelo-Otálora, Nelson Obregón-Neira, Victor Garrido-Arévalo, Edgar Eduardo Quiñones-Bolaños, Parisa Naraei, Mehrab Mehrvar, Ciro Fernando Bustillo-Lecompte
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Water
Subjects:
hydrology
rainfall
artificial neural networks
information entropy
clustering process
Online Access:https://www.mdpi.com/2073-4441/12/7/1973

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