1 publication

• Published Subscription 26 Dec 2019

  Neural network based prediction of shear wave velocity for soils

  By Rakesh Kumar Dutta, Prabhat Kumar, Tammineni Gnananandarao

  Abstract: The paper presents a study on the prediction of the shear wave velocity (Vs) for all soils using ANN model from cone penetration test data. The input parameters in the obtained of ANN models were vertical effective stress, sleeve friction, cone tip resistance and output was the shear wave velocity. These parameters were considered to construct the ANN model which has 3-2-1 topology in prediction of shear wave velocity. Further, …

  Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 23–34 Read article →