Parameter Sensitivity Analysis of Geotechnical Engineering System Using Neural Network Ensemble
Authors
L.X. Pan, Y.R. Zhang, M.S. Cao, D. Novak
Corresponding Author
L.X. Pan
Available Online July 2015.
- DOI
- 10.2991/aiie-15.2015.55How to use a DOI?
- Keywords
- parameter sensitivity analysis; neural network ensemble; geotechnical engineering system
- Abstract
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 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.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - L.X. Pan AU - Y.R. Zhang AU - M.S. Cao AU - D. Novak PY - 2015/07 DA - 2015/07 TI - Parameter Sensitivity Analysis of Geotechnical Engineering System Using Neural Network Ensemble BT - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering PB - Atlantis Press SP - 196 EP - 199 SN - 1951-6851 UR - https://doi.org/10.2991/aiie-15.2015.55 DO - 10.2991/aiie-15.2015.55 ID - Pan2015/07 ER -