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

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

More–accurate predictions of susceptibility to debris flows would help greatly in the early identification and large-scale monitoring of debris–flow disasters. Some existing models for doing so perform well during training and test but less well in practice, and this has adverse effects on engineeri...

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Bibliographic Details
Main Authors: Pengning GUO, Huige XING, Congjiang LI, Yuxin WU, Haibo LI
Format: Article
Language:English
Published: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2024-07-01
Series:工程科学与技术
Subjects:
debris flow disaster
susceptibility evaluation
deep learning algorithm
OOD generalization verification
deep fully connected neural network
Online Access:http://jsuese.scu.edu.cn/thesisDetails#10.15961/j.jsuese.202201138

Internet

http://jsuese.scu.edu.cn/thesisDetails#10.15961/j.jsuese.202201138

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