基于BP神经网络的农业特色产业投资项目风险评估——以大泽山葡萄特色产业为例

Risk assessment of agricultural characteristic industry investment projects based on BP neural network with Daze shan grape industry as an example

科学评估农业特色产业投资项目的风险有助于项目管理者更好地对农业特色产业项目进行管理,增加管理者对相关知识的了解和风险的防范,是项目顺利实施的基础和前提.从系统性风险和非系统性风险两大方面构建了农业特色产业风险项目风险评估体系,利用BP神经网络模型对其进行评价,运用matlab7.0软件进行实证训练和预测,对特色产业投资项目的风险评估具有较好的参考意义.

The scientific evaluation of the risk in agricultural characteristic of industrial invest ment project may help the managers to manage the projects, and understand the relevant knowl edge Of the risk, and it＇s the basis and prerequisite for the smooth implementation of the project. This article constructs the risk evaluation system of agricultural characteristic industrial risk pro ject, which includes systematic risk and unsystematic risk. BP neural network model is used to e valuate it, and Matlab7.0 software is used to train and predict the instance. The results show that it has practical significance and reference value.