Construction Project Investment Risk Evaluation Model Based on RBF Neural Network

被引：0
|
作者：
Zhang, Chuang yi [1 ]
Shi, Xiu qin [1 ]
机构：
[1] Xian Univ Architecture & Technol, Sch Civil Engn, Xian, Peoples R China
来源：
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 4 | 2009年
关键词：
construction projection; investment risk evaluation; RBF neural network;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A scientific risk evaluation method is more important in the decision stage of the project investment because there are all kinds of uncertainty during construction of projects. In this paper, it is introduced a neural networks evaluation method based on radial basis function. The principle of RBF firstly is elaborated, and then establishes a neural network: model combining with an actual project. The simulation result indicates this model can satisfy the request of project investment risk evaluation, and it is easy to achieve by computer program because its principle is simple.
引用
收藏
页码：418 / 421
页数：4
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