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

机译：基于BP神经网络的中国油菜产业风险预警研究

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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.

机译：对于影响和需求的影响以及影响油菜产业的因素，如宏观经济因素，国家政策和国际市场价格等，本文弥补了中国市场价格预警的指标体系通过使用菜籽采购价格的波动比作为油菜行业预警的指数。通过使用1990年至2007年的样品，通过BP神经网络通过对油菜行业风险的预警的实证研究，本文验证了预警模型对BP神经网络风险的可行性和可行性，这使得未来的早期警告反对油菜行业的风险可能。

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《International Conference on Computer Application and System Modeling》|2010年||共4页
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作者
Jingxian Wang; Qinghua Wu;
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中图分类 TP3-53;
关键词
BP Neural Network; Rapeseed Industry; the Early Warning against Risk;

机译：BP神经网络;油菜行业;预警风险;

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

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