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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-10-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-4441/10/10/1448 |