Methods for Evaluating Debris Flow Susceptibility Based on OOD Generalization Verification and Deep Fully Connected Neural Networks

被引：0
|
作者：
Guo, Pengning [1 ]
Xing, Huige [1 ]
Li, Congjiang [2 ,3 ]
Wu, Yuxin [1 ]
Li, Haibo [2 ,3 ]
机构：
[1] College of Architecture and Environment, Sichuan Univ., Chengdu,610065, China
[2] College of Water Resource & Hydropower, Sichuan Univ., Chengdu,610065, China
[3] State Key Lab. of Hydraulics and Mountain River Eng., Sichuan Univ., Chengdu,610065, China
来源：
Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences | 2024年 / 56卷 / 04期
关键词：
Bayesian networks - Debris - Decision trees - Deep neural networks - Disaster prevention - Forecasting - Iterative methods - Site selection;
D O I：
10.15961/j.jsuese.202201138
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：182 / 193
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