A Deep Learning Approach Using Gated Recurrent Unit for Prediction of Landslide Displacement Based on Spatial-Temporal Features of Multi-Monitoring Points

被引：0
|
作者：
Lin, Yutao [1 ]
Sun, Mmgjiang [2 ]
Chi, Xiaobo [1 ]
Jia, Xinchun [3 ]
机构：
[1] School of Mathematical Sciences, Shanxi University, Taiyuan, China
[2] Shanxi Provincial Highway, Comprehensive Administrative Law, Enforcement Corps, Taiyuan, China
[3] School of Automation and Software Engineering, Shanxi University, Taiyuan, China
来源：
Proceeding - 2021 China Automation Congress, CAC 2021 | 2021年
关键词：
657.2 Extraterrestrial Physics and Stellar Phenomena - 921.1 Algebra - 921.4 Combinatorial Mathematics; Includes Graph Theory; Set Theory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Forecasting
引用
收藏
页码：6936 / 6940
相关论文
共 50 条
  • [1] Landslide Displacement Prediction With Gated Recurrent Unit and Spatial-Temporal Correlation
    Ma, Wenli
    Dong, Jianhui
    Wei, Zhanxi
    Peng, Liang
    Wu, Qihong
    Chen, Chunxia
    Wu, Yuanzao
    Xie, Feihong
    FRONTIERS IN EARTH SCIENCE, 2022, 10
  • [2] Improved Landslide Deformation Prediction Using Convolutional Neural Network-Gated Recurrent Unit and Spatial-Temporal Data
    Yang, Honglei
    Liu, Youfeng
    Han, Qing
    Xu, Linlin
    Zhang, Tengjun
    Wang, Zeping
    Yan, Ao
    Zhao, Songxue
    Han, Jianfeng
    Wang, Yuedong
    REMOTE SENSING, 2025, 17 (04)
  • [3] Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
    Zhang, Wengang
    Li, Hongrui
    Tang, Libin
    Gu, Xin
    Wang, Luqi
    Wang, Lin
    ACTA GEOTECHNICA, 2022, 17 (04) : 1367 - 1382
  • [4] Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
    Wengang Zhang
    Hongrui Li
    Libin Tang
    Xin Gu
    Luqi Wang
    Lin Wang
    Acta Geotechnica, 2022, 17 : 1367 - 1382
  • [5] An adaptive spatial-temporal prediction model for landslide displacement based on decomposition architecture
    Xu, Man
    Zhang, Dongmei
    Li, Jiang
    Wu, Yiping
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 137
  • [6] A spatio-temporal network for landslide displacement prediction based on deep learning
    Luo H.
    Jiang Y.
    Xu Q.
    Liao L.
    Yan A.
    Liu C.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2022, 51 (10): : 2160 - 2170
  • [7] Parallel framework of a multi-graph convolutional network and gated recurrent unit for spatial-temporal metro passenger flow prediction
    Zhan, Shuguang
    Cai, Yi
    Xiu, Cong
    Zuo, Dajie
    Wang, Dian
    Wong, Sze Chun
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 251
  • [8] Hybrid Deep Learning approach for Urban Expressway Travel Time Prediction Considering Spatial-Temporal Features
    Zhang, Zhihao
    Chen, Peng
    Wang, Yunpeng
    Yu, Guizhen
    2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017,
  • [9] Attention-Based Spatial-Temporal Convolution Gated Recurrent Unit for Traffic Flow Forecasting
    Zhang, Qingyong
    Chang, Wanfeng
    Yin, Conghui
    Xiao, Peng
    Li, Kelei
    Tan, Meifang
    ENTROPY, 2023, 25 (06)
  • [10] Deep graph gated recurrent unit network-based spatial-temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial-temporal probabilistic forecast of photovoltaic power
    Bai, Mingliang
    Zhou, Zhihao
    Li, Jingjing
    Chen, Yunxiao
    Liu, Jinfu
    Zhao, Xinyu
    Yu, Daren
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 240
12345