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Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
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 thedoi:10.2991/aiie-15.2015.55 fatcat:aqol3azgdfh7dl52mevjz42tqi