Authors:
Xiaofeng Li
1
;
Wang Tian
1
and
Ke Wu
2
Affiliations:
1
Department of Management science, School of Business, Sichuan University, China
;
2
Department of enterprise management, School of Business, Sichuan University, China
Keyword(s):
High-tech, Entrepreneurial enterprise, BP Neural network, Risk early warning.
Abstract:
Entrepreneurship is a high-risk activity. In the entrepreneurial process, it may cause a significant loss or
even bankruptcy for entrepreneurial enterprise if entrepreneurial enterprise cannot prevent and control risk
effectively. Therefore, it is very necessary to use scientific and effective methods to estimate and control the
early risk of entrepreneurial enterprise. In this paper, the index system of the risk early warning of high-tech
entrepreneurial enterprise was built. Then based on artificial neural network theory, the BP neural network
model of high-tech entrepreneurial enterprise’s risk early warning was established, and the relevant
algorithm was proposed too. With good ability of fault-tolerance and adaptability, this model avoids the
subjectivity of the man-made interference in the course of risk early warning, which provides a new
approach for the risk early warning of high-tech entrepreneurial enterprise. The result of empirical research
indicates that the risk early
warning model of high-tech entrepreneurial enterprise based on BP neural
network is strongly scientific, practical and effective, thus it is worthy being popularized and applied.
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