Proceedings of the 2016 International Conference on Management Science and Management Innovation

The Study of Social Stability Risk Assessment for Land Expropriation Project Based On the BP Neural Network Model

Authors
Ling Zhang, Ling Ma
Corresponding Author
Ling Zhang
Available Online August 2016.
DOI
10.2991/msmi-16.2016.17How to use a DOI?
Keywords
land expropriation; Social stability risk; The BP neural network
Abstract

It is inevitable to make social risk assessment because the land acquisition project is as important matters. This paper is the analysis of social stability risk formation mechanism for land expropriation according to the related theory. It is built that social stability risk assessment index system of land expropriation project based on formation mechanism. Due to that social stability risk is not quantitative, this paper makes the BP neural network model of past project indicators of land expropriation prove the model is effective. Land expropriation jingle river project in the Guanyun County is evaluated that making use of effective model .The key risk factors and related Suggestions are put forward on this paper. The model is made of reference significance.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 International Conference on Management Science and Management Innovation
Series
Advances in Economics, Business and Management Research
Publication Date
August 2016
ISBN
978-94-6252-236-7
ISSN
2352-5428
DOI
10.2991/msmi-16.2016.17How to use a DOI?
Copyright
© 2016, 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  - Ling Zhang
AU  - Ling Ma
PY  - 2016/08
DA  - 2016/08
TI  - The Study of Social Stability Risk Assessment for Land Expropriation Project Based On the BP Neural Network Model
BT  - Proceedings of the 2016 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 78
EP  - 82
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-16.2016.17
DO  - 10.2991/msmi-16.2016.17
ID  - Zhang2016/08
ER  -