講演情報

9:30 〜 9:45

[055]REAL-TIME PREDICTION OF SUSPENDED SEDIMENT CONCENTRATION USING MACHINE LEARNING: CASE STUDY OF MIWA RESERVOIR, TENRYU RIVER IN JAPAN

*Mohamed SABER¹、Ryoya FURUIE²、Ahmed EMARA^2,3、Sameh A. KANTOUSH¹、Tetsuya SUMI¹、Sohei KOBAYASHI¹、Emad MABROUK^4,5 (1. Disaster Prevention Research Institute, Kyoto University、2. Dept. of Urban Management, Kyoto University、3. Irrigation Eng. & Hydraulics Dept., Alexandria University、4. College of Engineering and Technology, American University of the Middle East、5. Department of Mathematics, Faculty of Science, Assiut University)

キーワード：

Suspended Sediment Concentration (SSC)、Machine Learning、Inflow discharge、Memetic Programming、Miwa Dam

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