Study of technology innovation risk based on BP neural network

被引：0

作者：

Ting, Wang ^{[1
]}

Na, Cao ^{[1
]}

机构：

[1] N China Elect Power Univ, Dept Econ & Management, Baoding, Hebei Province, Peoples R China

来源：

ISMOT'07: Proceedings of the Fifth International Symposium on Management of Technology, Vols 1 and 2: MANAGING TOTAL INNOVATION AND OPEN INNOVATION IN THE 21ST CENTURY | 2007年

关键词：

technological innovation; market risk; variable weight; the risk identification;

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：

The success of technological innovation is judged by the ultimate performance of the products on the market. Therefore, analysis in technological innovation from the market angle is of special significance. The market risks of the technological are divided into two parts, the deferred risks and the innate market risky. So, this essay develops an evaluation index system about the market risk within technological innovation by the Component Analysis Method, and by means of BP Neutral Networks, we can get each index's constant weight value and evaluate the innovation risks. Variable weight theory is introduced here to analyze the deferred risk's weight, and then the neutral network is used for another time to get the deferred risk value.

引用

页码：1730 / 1733

页数：4

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