Title :
Study on the comprehensive risk assessment of offshore project based on BP neural networks
Author :
Yang Jia-ning ; Chen Wei ; Kang Xin
Author_Institution :
Sch. of Econ. & Manage., Harbin Eng. Univ., Harbin, China
Abstract :
Due to the following characteristics of offshore program, such as one-time large-scale investment, comprehensive high-risk, long payback period, high uncertainty, high regional and political, the investors has been paid more and more attentions to the risk of offshore program. Combined with the characteristics of offshore program risk management, and with the use of BP neural network theory, this paper constructed “the Offshore Program Risk Comprehensive Assessment index system” and “Assessment Model”. Combined with BP network learning process, and on the basis of selecting risk-related parameters and setting different network training layers, this paper simulated the BP model and analyzed the results.
Keywords :
backpropagation; business data processing; investment; neural nets; offshore installations; project management; risk management; BP network learning process; BP neural network theory; assessment model; comprehensive risk assessment; network training layers; offshore program risk comprehensive assessment index system; offshore program risk management; offshore project; one-time large-scale investment; payback period; Biological neural networks; Indexes; Mathematical model; Neurons; Risk management; Training; Vectors; BP neural network; Offshore Program; Risk assessment;
Conference_Titel :
Information Systems for Crisis Response and Management (ISCRAM), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-4577-0369-0
DOI :
10.1109/ISCRAM.2011.6184118