Methods of Sensitivity Analyses and theirs Role in Engineering
Authors
Novak Drahom¡r, Lehky David, Cao Maosen, Pan Lixia
Corresponding Author
Novak Drahom¡r
Available Online November 2017.
- DOI
- 10.2991/ismems-17.2018.24How to use a DOI?
- Keywords
- Sensitivity analysis, artificial neural networks, reliability analysis
- Abstract
The paper describes selected efficient methods for sensitivity analysis of engineering problems: The non-parametric rank-order statistical correlation between the basic random variables and the structural response variable, neural network ensemble-based sensitivity analysis and sensitivity analysis in terms of coefficient of variation. All three methods were utilized and compared for practical engineering example.
- Copyright
- © 2018, 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 - Novak Drahom¡r AU - Lehky David AU - Cao Maosen AU - Pan Lixia PY - 2017/11 DA - 2017/11 TI - Methods of Sensitivity Analyses and theirs Role in Engineering BT - Proceedings of the International Symposium on Mechanical Engineering and Material Science (ISMEMS 2017) PB - Atlantis Press SP - 101 EP - 103 SN - 2352-5401 UR - https://doi.org/10.2991/ismems-17.2018.24 DO - 10.2991/ismems-17.2018.24 ID - Drahom¡r2017/11 ER -