[S21] Machine learning

[153] APPLICATION OF RADIAL-BASIS FUNCTION NETWORK TO CHARACTERIZE FUTURE RAINFALL PRONE TO SEDIMENT HAZARDS IN A CHANGING CLIMATE

*Ying-Hsin WU¹, Akihiko YAMAJI², Eiichi NAKAKITA³ (1. Disaster Prevention Research Institute, Kyoto University, 2. Disaster Prevention Research Institute, Kyoto University, 3. Disaster Prevention Research Institute, Kyoto University)

Keywords:climate change、NHRCM、Radar-AMeDAS、radial basis function network