[S18] 流出・氾濫

[127] APPLICATION OF LONG SHORT-TERM MEMORY (LSTM) NETWORKS APPROACH FOR RIVER WATER LEVEL FORECASTING USING MULTIPLE RIVER BASINS: A CASE STUDY FOR SRI LANKA

*ABEYRATHNE Diani¹、KANEKO Ryo²、YOSHIMURA Kei³ (1. Graduate School of Engineering, The University of Tokyo、2. Institute of Industrial Science, The University of Tokyo、3. Institute of Industrial Science, The University of Tokyo)

キーワード：data-driven methods、feature selection、flood forecasting、Long Short-Term Memory (LSTM)