Development of Combined Heavy Rain Damage Prediction Models with Machine Learning
作者： Changhyun Choi , Jeonghwan Kim , Jungwook Kim , Hung Soo Kim
DOI: 10.3390/W11122516
关键词:
摘要: Adequate forecasting and preparation for heavy rain can minimize life property damage. Some studies have been conducted on the damage prediction model (HDPM), however, most of their models are limited to linear regression that simply explains relation between rainfall data This study develops combined (CHDPM) where residual (RPM) is added HDPM. The predictive performance CHDPM analyzed be 4–14% higher than Through this, we confirmed improved by combining RPM machine learning complement linearity results this used as basic beneficial natural disaster management.
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