NDLI: An Early Warning System for Technological Innovation Risk Management Using Artificial Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Hao Yun-hong Li Wen-bo Xu Xiu-ling
Copyright Year	2007
Description	Author affiliation: Zhejiang Gongshang Univ., Hangzhou (Hao Yun-hong; Li Wen-bo)
Abstract	With the advent of knowledge-based economy, technological innovation is becoming more and more important and it is widely regarded as a key ingredient in business success. However, under a complex and changeable environment, the innovation risks are an inherent part of innovation process and they need to be managed effectively from the very beginning. Today, innovation risk warning as a new subject is currently receiving a huge amount of interest. The main objective of this paper is to put forward a new warning approach for technological innovation risk management based on artificial neural networks. This paper is organized as follows. Section one is the introduction. The second section puts forward the structure of artificial neural networks. We provide the knowledge representation of early warning indexes for technological innovation risk in the third section. In the fourth section, using survey data on some medium and small technology-based firms in Hangzhou national high-tech industrial development zone, a simulation is given. The testing results demonstrate that the method performs very well. And last, we give the conclusions.
Starting Page	2128
Ending Page	2133
File Size	3232845
Page Count	6
File Format	PDF
ISBN	9787560322780
DOI	10.1109/ICMSE.2007.4422154
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	HARBIN INSTITUTE OF TEC
Subject Keyword	Knowledge engineering Technological innovation risk management Artificial neural networks Conference management Risk analysis Environmental economics warning system artificial neural networks Technology management technological innovation Alarm systems Innovation management Risk management
Content Type	Text
Resource Type	Article

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