Study on Project Bidding Risk Evaluation Based on BP Neural Network Theory
By analyzing appraisable factors of engineering project bidding risk, a comprehensive evaluation model of engineering project bidding risk based on BP (back propagation) neural network is established to enhance the validity of evaluation in this paper. By learning of some effective samples given, the extraction and storage of experts’ knowledge and experience are realized with this model. Two simulation examples show that the proposed comprehensive evaluation model of engineering project bidding risk based on BP neural network is reasonable and feasible. The purpose of this paper is to provide a scientific basis for the bidding decision-making.
Wang Xinzheng He Ping
School of Civil Engineering,Nanyang Normal University,Nanyang,P.R.China,473061 School of fine arts and arts design,Nanyang Normal University,Nanyang,P.R.China,473061
国际会议
The 7th International Conference on Innovation and Management(第七届创新与管理国际会议 ICIM 2010)
武汉
英文
1192-1196
2010-12-04(万方平台首次上网日期,不代表论文的发表时间)