Study on Early Warning against Risk in rapeseed industry of China based on BP Neural Network

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.