基于BP神经网络的农业高科技投资项目风险评价模型  

Risk evaluation model of high sci-tech agriculture projects based on ANN

作　　者：崔卫芳[1] 霍学喜[1] 庄世宏[2] 张红亮[2] 

机构地区：[1]西北农林科技大学经管学院 [2]西北农林科技大学科研处,陕西杨凌712100

出　　处：《西北农林科技大学学报（自然科学版）》2006年第7期160-164,共5页Journal of Northwest A&F University(Natural Science Edition)

摘　　要：在建立农业高科技投资项目风险评价指标体系的基础上,引入人工神经网络建模方法,建立基于BP神经网络的农业高科技投资项目风险评价模型,并运用实例对其进行了训练和预测,取得了较好的结果,说明该模型能较为准确地按照专家的评价方法进行工作,为农业高科技投资项目提供了现实可用的风险预测及风险控制工具,同时进一步显示出神经网络模型在现代农业经济非线性领域应用的广阔前景。The paper proposed a multi-target synthetic evaluation system of high sci-tech agriculture projects based on neural network,and established risk evaluation model of high sci-tech agriculture projects based on BP neutral network. The network model was trained and predicted by using the factual examples. The results show that back-propagation network model can carry on the work according to the experts＇ methods,which provides the risk control forecasting tool for the agricultural high sci-tech investment projects and demonstrates that the neutral network model has broad application prospects in the modern economical non-linear domain.

关 键 词：BP神经网络 农业高科技投资项目 风险评价 

分 类 号：F323.9[经济管理—产业经济]