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Empirical research of agricultural enterprise risk warning based on BP neural network model

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3 Author(s)
Zhang Hongxia ; The Key Laboratory of Bionic Engineering (Jilin University), Ministry of Education, P.R. China ; Yang Yinsheng ; Guo Hongpeng

The enterprise may check the crisis in the bud through the risk early-warning, thus enabling the enterprise to achieve the sustainable development. Agricultural enterprise is the foundation of agricultural development. Due to their weakness and the particularity of the production process, the risk of agricultural enterprise is more complex, making the risk early-warning of agricultural enterprise more important. In this paper, neural network method is used to make an empirical analysis of risk early-warning of agricultural enterprise, research results show that neural network analysis method is a more scientific and reasonable method for quantitative analysis carried on the risk assessment and the early warning to the agricultural enterprise.

Published in:

2011 Chinese Control and Decision Conference (CCDC)

Date of Conference:

23-25 May 2011