Machine learning in geotechnical engineering: opportunities and applications

    1. Home
    2. Publications
    3. Online Library
    4. Machine learning in geotechnical engineering: opportunities and applications
    1. Home
    2. Publications
    3. Online Library
    4. Machine learning in geotechnical engineering: opportunities and applications



Machine learning in geotechnical engineering: opportunities and applications


Z. Liu; S. Lacasse


20th International Conference on Soil Mechanics and Geotechnical Engineering (Sydney)



SOA



Numerical & Constitutive Modeling, Data Management

theme-img

International Society for Soil Mechanics and Geotechnical Engineering

Contact Information

  • Secretary General - Dr A M McNamara
  • Email: [email protected]
  • Phone: +44 20 7040 8154
  • City, University of London
  • Northampton Square
  • London EC1V 0HB. United Kingdom

Copyright © 1999 - 2025 by ISSMGE. All Rights Reserved. Powered by ARGO-E GROUP.
FAQ Terms & Conditions