Journal
COMPUTERS AND GEOTECHNICS
Volume 33, Issue 8, Pages 454-459Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2006.08.006
Keywords
artificial neural network; lateral pile load capacity; statistical criteria; sensitivity analysis
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This paper describes the application of the artificial neural network model to predict the lateral load capacity of piles in clay. Three criteria were selected to compare the ANN model with the available empirical models: the best fit line for predicted lateral load capacity (Q(p)) and measured lateral load capacity (Q(m)), the mean and standard deviation of the ratio Q(p)/Q(m) and the cumulative probability for Q(p)/Q(m). Different sensitivity analysis to identify the most important input parameters is discussed. A neural interpretation diagram is presented showing the effects of input parameters. A model equation is presented based on neural network parameters. (C) 2006 Elsevier Ltd. All rights reserved.
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