Study on the Early Warning of PPP Project Risk based on Rough Set and BP Neural Network
Daoping Wang, Zhe Wang, Xiaojuan Sheng
Available Online February 2018.
- 10.2991/ifeesm-17.2018.269How to use a DOI?
- PPP Project; Early Warning; Rough Set; BP Neural Network
The risk of PPP project is one of the issues the most importantly focused by all participants in the project management; the establishment of a scientific risk early warning system is an effective way to control the risk of PPP projects. Based on the design of the PPP project risk early warning index system, the evaluation indexes were subtracted with rough set; a nonlinear simulation early warning model of PPP project risk was constructed with BP neural network; the network model was simulated through the sample data to obtain a good simulation effect.
- © 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 - Daoping Wang AU - Zhe Wang AU - Xiaojuan Sheng PY - 2018/02 DA - 2018/02 TI - Study on the Early Warning of PPP Project Risk based on Rough Set and BP Neural Network BT - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017) PB - Atlantis Press SP - 1479 EP - 1485 SN - 2352-5401 UR - https://doi.org/10.2991/ifeesm-17.2018.269 DO - 10.2991/ifeesm-17.2018.269 ID - Wang2018/02 ER -