Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

Abstract

The application of models provided by artificial neural network (ANN) in predicting bearing capacity of driven pile is underlined in several investigations. However, weakness of ANN in slow rate of convergence as well as finding reliable testing output is known to be the major drawbacks of implementing ANN-based techniques. The present study aims to… (More)
DOI: 10.1007/s00366-017-0545-7

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