4 Art�culos

Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model

Acceso

en l�nea

Kidoo Park, Yeongjeong Seong, Younghun Jung, Ilro Youn and Cheon Kyu Choi

The methods for improving the accuracy of water level prediction were proposed in this study by selecting the Gated Recurrent Unit (GRU) model, which is effective for multivariate learning at the Paldang Bridge station in Han River, South Korea, where th... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 15 Num: 0 Par: 3 A�o: 2023

Development of Deep Learning Models to Improve the Accuracy of Water Levels Time Series Prediction through Multivariate Hydrological Data

Acceso

en l�nea

Kidoo Park, Younghun Jung, Yeongjeong Seong and Sanghyup Lee

Since predicting rapidly fluctuating water levels is very important in water resource engineering, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) were used to evaluate water-level-prediction accuracy at Hangang Bridge Station in Han River, ... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 14 Num: 0 Par: 3 A�o: 2022

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