Engineering Project Risk Evaluation System Construction and Research Based on BP Model

Abstract:

According to the status of the current engineering construction field in our country, in order to adapt to the requirements of engineering construction project risk evaluation, this paper discuss establishing a reasonable risk evalluation index system and a model of effective risk evaluation. By analyzing the advantages and disadvantages of the general model of risk evaluation, determine the risk evaluation model combined with BP neural network with AHP; secondly,establish a risk evaluation index system; once again,illustrate the method which represents the correlation between evaluation index system and the degree of risk; finally, establish a reasonable BP neural network model.Key Word:Evaluation index; Risk Evaluation ;AHP;BP Neural Network; Model Construction

• Periodical: Applied Mechanics and Materials (Volumes 368-370)
• Pages: 2050-2053
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.368-370.2050
• Online since: August 2013
• Authors: Jian Wei Zhang, Dong Lu Ye, Guan Chan Ye, Jing Zhi Zhou
• Keywords: Analysis Hierarchy Process (AHP), BP Neural Network (BPNN), Evaluation Index, Model Construction, Risk Evaluation

References

[1] Pellegrinelli Sergio， Partington David， Hemingway Chris， et al. The importance of context in programme management: An empirical review of programme practices ［J］． International Journal of Project Management， 2007， 25 (1) : 41-55.

DOI: 10.1016/j.ijproman.2006.06.002

[2] Shehu Zayyana，Akintoye Akintola. Major challenges to the successful implementation and practice of programme management in the construction environment: A critical analysis ［J］． International Journal of Project Management，2010，28 (1) : 26-39.

DOI: 10.1016/j.ijproman.2009.02.004

[3] Jagathipriya，R P Byali，M V Kannan. Critical chain project management -A new project management philosophy for multi project environmen［J］． Journal of Spacecraft Technology，2008，18 ( 1) : 30-36.

[4] Zhang Pengzhu Yang Xuanliu, Group decision support system studies of the senior administrative personnel selection scheme based on Neural Network [J], Statistical study， 2005 (7): 66-68.

[5] Pan Ane The comprehensive evaluation research of science project based on BP neural network [J]．China Shipping: theoretical version 2007，5(6)：126·127.

[6] Zhao Zhigang, Methods of the research project based on Neural Network [J]. Journal of Taiyuan University of Technology: Social Science Edition, 2004, 22 (4): 35. 37.