Application of Artificial Neural Networks to Rainfall Forecasting in the Geum River Basin, Korea

This study develops a late spring-early summer rainfall forecasting model using an artificial neural network (ANN) for the Geum River Basin in South Korea. After identifying the lagged correlation between climate indices and the rainfall amount in May and June, 11 significant input variables were se...

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Detalhes bibliográficos
Main Authors: Jeongwoo Lee, Chul-Gyum Kim, Jeong Eun Lee, Nam Won Kim, Hyeonjun Kim
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2018-10-01
Colecção:Water
Assuntos:
artificial neural network
rainfall forecasting
climate indices
relative importance of input variables
Acesso em linha:http://www.mdpi.com/2073-4441/10/10/1448
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