Assessment of highway slope failure using neural networks

被引：0
|
作者：
Tsung-lin Lee
Hung-ming Lin
Yuh-pin Lu
机构：
[1] Leader University,Department of Construction and Facility Management
[2] Leader University,Department of Resource and Environment
来源：
Journal of Zhejiang University-SCIENCE A | 2009年 / 10卷
关键词：
Neural network; Prediction; Highway; Slope failure; TU4;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An artificial intelligence technique of back-propagation neural networks is used to assess the slope failure. On-site slope failure data from the South Cross-Island Highway in southern Taiwan are used to test the performance of the neural network model. The numerical results demonstrate the effectiveness of artificial neural networks in the evaluation of slope failure potential based on five major factors, such as the slope gradient angle, the slope height, the cumulative precipitation, daily rainfall and strength of materials.
引用
收藏
页码：101 / 108
页数：7
相关论文
共 50 条
  • [31] Geotechnical assessment of road failure and slope monitoring along Nsukka-Adoru-Idah highway, Southeastern Nigeria
    Raphael Iweanya Maduka
    Ogbonnaya Igwe
    Nnadozie Onyekachi Ayogu
    Chinero Nneka Ayogu
    Martin Nwachukwu
    Environmental Monitoring and Assessment, 2017, 189
  • [32] Slope reliability analysis using Bayesian optimized convolutional neural networks
    Lin, Houlai
    Li, Liang
    Meng, Kaiqi
    Li, Chunli
    Xu, Liang
    Liu, Zhiliang
    Lu, Shibao
    ENGINEERING COMPUTATIONS, 2022, 39 (08) : 3012 - 3037
  • [33] Neural networks for slope movement prediction
    Mayoraz, F.
    Vulliet, L.
    International Journal of Geomechanics, 2002, 2 (02) : 153 - 173
  • [34] Slope and Generalization Properties of Neural Networks
    Johansson, Anton
    Engsner, Niklas
    Strannegard, Claes
    Mostad, Petter
    2022 34TH WORKSHOP OF THE SWEDISH ARTIFICIAL INTELLIGENCE SOCIETY (SAIS 2022), 2022, : 28 - 36
  • [35] ASSESSMENT OF GAIT PATTERNS USING NEURAL NETWORKS
    HOLZREITER, SH
    KOHLE, ME
    JOURNAL OF BIOMECHANICS, 1993, 26 (06) : 645 - 651
  • [36] A critical review of highway slope instability risk assessment systems
    Lysandros Pantelidis
    Bulletin of Engineering Geology and the Environment, 2011, 70 : 395 - 400
  • [37] Image quality assessment by using neural networks
    Carrai, P
    Heynderickx, I
    Gastaldo, P
    Zunino, R
    2002 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL V, PROCEEDINGS, 2002, : 253 - 256
  • [38] Prediction of Settlement of Soft Clay Foundation in Highway Using Artifical Neural Networks
    Li Xiao Yong
    Bu Fan Jie
    MANUFACTURING SCIENCE AND MATERIALS ENGINEERING, PTS 1 AND 2, 2012, 443-444 : 15 - 20
  • [39] A critical review of highway slope instability risk assessment systems
    Pantelidis, Lysandros
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2011, 70 (03) : 395 - 400
  • [40] Neural Machine Translation with Recurrent Highway Networks
    Parmar, Maulik
    Devi, V. Susheela
    MINING INTELLIGENCE AND KNOWLEDGE EXPLORATION, MIKE 2018, 2018, 11308 : 299 - 308
12345