Prediction of yield shear strength of saturated sandy soils using artificial neural networks

被引：0
|
作者：
NourEldin, Amr A. [1 ]
机构：
[1] Soil Mechanics and Geotechnical Engineering Department, Housing and Building National Research Center, Giza, Egypt
来源：
HBRC Journal | 2023年 / 19卷 / 01期
关键词：
Forecasting;
D O I：
10.1080/16874048.2023.2252720
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：199 / 213
相关论文
共 50 条
  • [1] Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods
    Khanlari, G. R.
    Heidari, M.
    Momeni, A. A.
    Abdilor, Y.
    [J]. ENGINEERING GEOLOGY, 2012, 131 : 11 - 18
  • [2] Discussion on "Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods"
    Alavi, Amir Hossein
    Gandomi, Amir Hossein
    Mousavi, Seyyed Mohammad
    [J]. ENGINEERING GEOLOGY, 2012, 137 : 107 - 108
  • [3] Robust Prediction of Shear Strength of SFRC Using Artificial Neural Networks
    Odeh, Ruba
    Alawadi, Roaa
    [J]. SUSTAINABILITY, 2022, 14 (14)
  • [4] Yield Prediction Using Artificial Neural Networks
    Baral, Seshadri
    Tripathy, Asis Kumar
    Bijayasingh, Pritiranjan
    [J]. COMPUTER NETWORKS AND INFORMATION TECHNOLOGIES, 2011, 142 : 315 - +
  • [5] Mapping shear strength and compressibility of soft soils with artificial neural networks
    Lin, Peiyuan
    Chen, Xianying
    Jiang, Mingjie
    Song, Xugen
    Xu, Meijuan
    Huang, Sheng
    [J]. ENGINEERING GEOLOGY, 2022, 300
  • [6] Application of artificial neural networks in settlement prediction of shallow foundations on sandy soils
    Nguyen-Vu Luat
    Lee, Kihak
    Duc-Kien Thai
    [J]. GEOMECHANICS AND ENGINEERING, 2020, 20 (05) : 385 - 397
  • [7] Prediction of wheat yield using artificial neural networks
    Safa, B
    Khalili, A
    Teshnehlab, M
    Liaghat, AM
    [J]. 15TH CONFERENCE ON BIOMETEOROLOGY AND AEROBIOLOGY JOINT WITH THE 16TH INTERNATIONAL CONGRESS ON BIOMETEOROLOGY, 2002, : 350 - 351
  • [8] Prediction of concrete strength using artificial neural networks
    Lee, SC
    [J]. ENGINEERING STRUCTURES, 2003, 25 (07) : 849 - 857
  • [9] Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks
    Kahraman, S
    Altun, H
    Tezekici, BS
    Fener, M
    [J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2006, 43 (01) : 157 - 164
  • [10] Evaluation of the Undrained Shear Strength of Organic Soils from a Dilatometer Test Using Artificial Neural Networks
    Lechowicz, Zbigniew
    Fukue, Masaharu
    Rabarijoely, Simon
    Sulewska, Maria Jolanta
    [J]. APPLIED SCIENCES-BASEL, 2018, 8 (08):
12345