Parameter Sensitivity Analysis of Geotechnical Engineering System Using Neural Network Ensemble

L.X. Pan, Y.R. Zhang, M.S. Cao, D. Novak
2015 Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering   unpublished
Neural networks-based sensitivity analysis of parameters of geotechnical engineering systems has become a research focus of increasing interest. This study presents a neural network ensemble-based parameter sensitivity analysis method to investigate the sensitivity of variables leading to lateral deformation in an earth-retaining wall of foundation pit system. This method allows not only identification of the dominant variables of the foundation pit system but it also helps to reveal of the
more » ... o reveal of the relationship between the explicative (input) and dependent (output) variables of the system. The effectiveness of the proposed method is validated by the typical case in geotechnical engineering system. Keywords-parameter sensitivity analysis; neural network ensemble; geotechnical engineering system I.
doi:10.2991/aiie-15.2015.55 fatcat:aqol3azgdfh7dl52mevjz42tqi