Neural networks and principle component analysis approaches to predict pile capacity in sand

@inproceedings{Benali2018NeuralNA,
  title={Neural networks and principle component analysis approaches to predict pile capacity in sand},
  author={Abdelali Benali and Ammar Nechnech and Bakhta Boukhatem and Mohamed Nabil Hussein and M Karry},
  year={2018}
}
Determination of pile bearing capacity from the in-situ tests has developed considerably due to the significant development of their technology. The project presented in this paper is a combination of two approaches, artificial neural networks and main component analyses that allow the development of a neural network model that provides a more accurate prediction of axial load bearing capacity based on the SPT test data. The retropropagation multi-layer perceptron with Bayesian regularization… CONTINUE READING

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