Investment risks assessment on high-tech projects based on analytic hierarchy process and BP neural network

被引：2

作者：

Jiang H. ^{[1
]}

Ruan J. ^{[1
]}

机构：

[1] School of Economics and Management, Hebei University of Engineering, Handan

来源：

Journal of Networks | 2010年 / 5卷 / 04期

关键词：

Analytic hierarchy process; BP neural network; High-tech projects; Investment risks assessment;

D O I：

10.4304/jnw.5.4.393-402

中图分类号：

学科分类号：

摘要：

In view of the existing problems of investment risks assessment on high-tech industry projects such as a lack of systematic, with too much subjectivity and from the point to improve assessment efficiency and effectiveness, the paper combined Analytic Hierarchy Process (AHP) with BP Neural Network to establish a new and suitable risk assessment model of high-tech projects. Firstly, we applied AHP to construct a comprehensive risk assessment index system and screened the assessment indexes according to their weights. On this basis, using MATLAB software with BP Neural Network model, we carried out example simulations and results were analyzed. The results showed that the combination model of Analytic Hierarchy Process with BP Neural Network model (AHP-BPNN) is effective. © 2010 ACADEMY PUBLISHER.

引用

页码：393 / 402

页数：9

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