Research on engineering project risk evaluation system based on neural network

被引：0

作者：

Li, XY ^{[1
]}

Zhang, MY ^{[1
]}

Wu, WB ^{[1
]}

机构：

[1] Jiao Tong Univ, Sch Econ & Management, Beijing 100044, Peoples R China

来源：

PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON CONSTRUCTION & REAL ESTATE MANAGEMENT, VOLS 1 AND 2: CHALLENGE OF INNOVATION IN CONSTRUCTION AND REAL ESTATE | 2005年

关键词：

ICCREM; paper formatting; guidelines;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As the extensibility and complexity of engineering projects in space, the risks of engineering projects are increasing. The increase of risk will cause various deviations, or even failures for engineering projects during operation. in this paper, a dynamic self-study and self-organized engineering project risk evaluation system is established by applying neural network technology. This system breaks through traditional project risk appraisement pattern and solves problem that traditional model is difficult to dispose highly nonlinear model with high effectively. This paper establishes foundation for the practice of project risk evaluation and sets forward a method to solve this kind of nonlinear structural optimization problem of project risk evaluation. At the same time, it can foresee and control project risk in time so that to guarantee project running continuously and successfully.

引用

页码：776 / 779

页数：4

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