引用本文:
【打印本页】   【下载PDF全文】   View/Add Comment  Download reader   Close
←前一篇|后一篇→ 过刊浏览    高级检索
本文二维码信息
码上扫一扫!
基于BP神经网络的农业高科技投资项目风险评价模型
崔卫芳1,2, 霍学喜1, 庄世宏3
1.西北农林科技大学 经管学院;2.科研处;3.西北农林科技大学 科研处
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。
关键词:  BP神经网络  农业高科技投资项目  风险评价
DOI:
分类号:
基金项目:
Risk evaluation model of high sci-tech agriculture projects based on ANN
Abstract:
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.
Key words:  BP neutral network  high sci-tech agriculture project  risk evaluation

You are the NO.34635122
Copyright©2009:Editorial Department of Journal of Northwest A&F University (Natural Science Edition)
Designed by Beijing E-Tiller Co.,Ltd