Parameter Sensitivity Analysis of Geotechnical Engineering System Using Neural Network Ensemble

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/).

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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  -