Applications of Artificial Neural Networks in Foundation Engineering

نویسندگان

  • Mohamed A. Shahin
  • Mark B. Jaksa
  • Holger R. Maier
چکیده

In recent years, artificial neural networks (ANNs) have emerged as one of the potentially most successful modelling approaches in engineering. In particular, ANNs have been applied to many areas of geotechnical engineering and have demonstrated considerable success. The objective of this paper is to highlight the use of ANNs in foundation engineering. The paper describes ANN techniques and some of their applications in shallow and deep foundations, as well as the salient features associated with ANN model development. Finally, the paper discusses the strengths and limitations of ANNs compared with other modelling approaches.

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تاریخ انتشار 2003