Study on the Early Warning of PPP Project Risk based on Rough Set and BP Neural Network

DOI

10.2991/ifeesm-17.2018.269How to use a DOI?

Keywords

PPP Project; Early Warning; Rough Set; BP Neural Network

Abstract

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.

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/).

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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  -