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Methods for Evaluating Debris Flow Susceptibility Based on OOD Generalization Verification and Deep Fully Connected Neural Networks
CIVIL ENGINEERING | 更新时间：2024-11-15
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    • Methods for Evaluating Debris Flow Susceptibility Based on OOD Generalization Verification and Deep Fully Connected Neural Networks

    • “在山区泥石流灾害早期识别和监测预警领域，专家验证了深度全连接神经网络模型，为提高泥石流评价精度提供新思路。”
    • Advanced Engineering Sciences   Vol. 56, Issue 4, Pages: 182-193(2024)

    • DOI：10.15961/j.jsuese.202201138    

      CLC： P694

    • Published：20 July 2024，

      Published Online：17 March 2023，

      Received：20 October 2022，

      Revised：10 February 2023，

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  • Guo Pengning,Xing Huige,Li Congjiang,et al.Methods for evaluating debris flow susceptibility based on OOD generalization verification and deep fully connected neural networks[J].Advanced Engineering Sciences,2024,56(4):182–193 DOI： 10.15961/j.jsuese.202201138.

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GUO Pengning
XING Huige
LI Congjiang
WU Yuxin
LI Haibo

Related Institution

College of Architecture and Environment, Sichuan Univ.
College of Water Resource and Hydropower, Sichuan Univ.
State Key Lab. of Hydraulics and Mountain River Eng., Sichuan Univ.
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