• DocumentCode
    1731823
  • Title

    Applications of ANNs in Geotechnical Engineering

  • Author

    Xiangjun, Chen ; Zhanfeng, Gao

  • Author_Institution
    Shijiazhuang Railway Inst., Shijiazhuang
  • fYear
    2007
  • Abstract
    Artificial neural networks (ANNs) were developed very quickly and applied very widely in recent years due to their strong ability to solve the nonlinear problems. The artificial neural network-based method was also widely applied to the geotechnical engineering. The complexity of the geotechnical engineering problems because of the strong nonlinear relationship between knows and unknowns of the problems can be mapped very well by artificial neural networks. Researches on the application of artificial neural network in geotechnical engineering are reviewed and appraised in this paper. All the networks mentioned are trained with the back-propagation algorithm which is widely used by a great number of researchers. Research reveals that the method is feasible and it will be interested for more geotechnical engineers.
  • Keywords
    backpropagation; neural nets; structural engineering computing; ANN applications; artificial neural networks; back-propagation algorithm; geotechnical engineering; Appraisal; Artificial neural networks; Feedforward neural networks; Instruments; Neural networks; Neurons; Rail transportation; Railway engineering; Sorting; Uncertainty; Artificial neural network; BP algorithm; geotechnical engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4351003
  • Filename
    4351003