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The use of neural networks for the prediction of cone penetration resistance of silty sands
(Springer, 2017-12)
In this study, an artificial neural network (ANN) model was developed to predict the cone penetration resistance of silty sands. To achieve this, the data sets reported by Ecemis and Karaman, including the results of three ...
The use of neural networks for CPT-based liquefaction screening
(Springer, 2014)
This study deals with development of two different artificial neural network (ANN) models: one for predicting cone penetration resistance and the other for predicting liquefaction resistance. For this purpose, cone penetration ...