Empirical Research of Agricultural Enterprise Risk Warning Based on BP Neural Network Model

摘要：

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.

关键词： BP Neural Network Model Agricultural Enterprises Risk Early-warning

作者: Zhang Hongxia Yang Yinsheng Guo Hongpeng

作者单位: The Key Laboratory of Bionic Engineering (Jilin University) ,Ministry of Education, P.R.China;Jilin The Key Laboratory of Bionic Engineering (Jilin University) ,Ministry of Education, P.R.China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 3043-3048

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）