Study on Early Warning against Risk in Rapeseed Industry of China Based on BP Neural Network

摘要：

For the influence from the supply and demand and the factors that affect the rapeseed industry such as the macroeconomic factors, national policy and international market price and so on, this article makes up the index system of the Early Warning against Risk of market price of China by using the fluctuation ratio of rapeseed procurement price as index of the Early Warning against Risk in the rapeseed industry. By using the samples from 1990 to 2007, and by empirical study of the early warning against risk of rapeseed industry through the BP Neural Network, this article verifies the practicability and feasibility of the Early Warning model against Risk of BP Neural Network, which make the future Early Warning against Risk of Rapeseed Industry possible.

关键词： rapeseed industry the early warning against risk BP neural network

作者: Jingxian Wang Qinghua Wu

作者单位: Economic dept.Huazhong University of Science of Tecknology Wuhan,China College of Economic and management Huazhong Agriculture University Wuhan,China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 414-417

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）