Establishment and Application of Risk Forecast Model of Construction Project Based upon BP Neural Network

Abstract:

Risk management is a kind of activity by economic unit to obtain the maximal safety guarantee at the minimal cost through the identification and measuring of risk, in which reasonable economic and technical means are defined to cope with the risk, and it is also a process of estimating, evaluating and preventing the risk. Based upon the collection and normalization of sample data, determination and training of network structure, by identifying the relationship between input and output, BP neural network establishes risk forecast model of project, then the sample is tested and risk forecast model is validated.

• Periodical: Advanced Materials Research (Volumes 945-949)
• Pages: 3056-3059
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.945-949.3056
• Online since: June 2014
• Authors: Xin Xin Li*
• Keywords: BP Neural Network (BPNN), Project, Risk Forecast

References

[1] Hu Xuemian, Zhao Guohao. Forecasting Model of Coal Demand Based upon Matlab BP Neural Network[J]. Chinese Journal of Management Science，2008，16(10)：521-525.

[2] G Peter Zhang．Time series forecasting using a hybrid ARIMA and neural network model[J]．Neurocomputing，2003，50(1)：159-175.

[3] Qi Anbang. Project Risk Management[M]. Bei Jing: China Economic Publishing House, (2004).

[4] Chen Weike. Project Risk Management[M]. Bei Jing: China Communications Press, (2007).

[5] Li Guoyong. Theory and Appliction of Neural Network Control[M]. Bei Jing: Publishing House of Electronics Industry, (2009).