Study on prediction of cement-soil gravity retaining wall security risk based on BP
Available Online June 2014.
- 10.2991/csss-14.2014.60How to use a DOI?
- cement-soil gravity retaining wall; safety forecast ;BP neural network
In order to forecast the security risk of cement-soil gravity wall, an index system whose function is to forecast the security of cement-soil gravity wall is established from four aspects of soil properties, mechanical properties of mixer, materials, error of a pile position and verticality deviation. We introduce BP neural network to the training of sample data, then BP neural network model is established to predict the security risk of cement-soil gravity retaining wall. Combined with a base engineering project, the validity and practicability of this forecast is testified.
- © 2014, 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 - Cai-hui Li PY - 2014/06 DA - 2014/06 TI - Study on prediction of cement-soil gravity retaining wall security risk based on BP BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 258 EP - 260 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.60 DO - 10.2991/csss-14.2014.60 ID - Li2014/06 ER -