Research on Artificial Neural Network Model for the Bidding Risk of Engineering Project

被引：0

作者：

Tang Guo-Hua ^{[1
]}

Wang Ling ^{[2
]}

机构：

[1] Eastchina Jiaotong Univ, Sch Humanities &Social Sci, Nanchang 330013, Peoples R China

[2] Southwest Jiaotong Univ, Sch Econ &Management, Chengdu 610031, Peoples R China

来源：

EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8 | 2010年

关键词：

engineering project; artificial neural network; BP-network; risk appraisal;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

By analyzing appraisable indicators of engineering project bidding risk, a comprehensive evaluation model of engineering project bidding risk based on BP (back propagation) neural network was 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 were 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 would provide a scientific basis for the bidding decision-making.

引用

页码：4111 / +

页数：2

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