Research of decision support system based on BP neural network

被引：0
|
作者：
Zhou Jing [1 ]
Yu Tianbiao [1 ]
Liu Zixu [1 ]
Liang Shuang [1 ]
Wang Jianrong [1 ]
Wang Wanshan [1 ]
机构：
[1] NE Univ, Sch Mech Engn & Automat, Shenyang 110004, Peoples R China
来源：
PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A AND B: BUILDING CORE COMPETENCIES THROUGH IE&EM | 2007年
关键词：
product development; risk evaluation; decision support; BP neural network;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Risk evaluation and decision support is an important part of new product development. In order to improve reliability and scientificalness, this paper presents a decision support system of new product development risk based on neural network and method of principal component analysis. An evaluation index system of new product development risk is established, which is optimized and reduced by method of principal component analysis. Then a risk forecast model based on BP neural network is put up. Combined with the actual demands of enterprise, training and simulating of the model are studied. Results show that the BP neural network model is effective, it can give a scientific evaluation and support about product development risk.
引用
收藏
页码：201 / 205
页数：5
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