摘要
企业技术创新是一个高风险与高收益并存的过程,其风险评价的准确度关系到项目投资的成败,国内外相关评价方法很多,但在体现其风险的复杂性和不确定性上存在不足,一定程度上降低了评价结果的科学性和客观性。近年来兴起的人工神经网络评价模型具有信息分布广、容错大的特点,适于信息残缺或推理规则不确定的环境,另外模型中的权重是通过样本学习而形成的,不需要对各项指标确定权重。本文对BP神经网络在企业技术创新风险评价中的应用加以探讨。
The enterprise technical innovation is a high - risk high - yield coexist with the process, the accuracy of risk assessment related to the investment success or failure. There are many domestic and foreign - related evaluation method, but there are shortcomings refleeted in the complexity of its risks and uncertainties. To some extent, it reduces the evaluation of the results of scientific and objective. In recent years the rise of artificial neural network model has the characteristics of the great fault - tolerant, It is appropriate for incomplete information or inference rules uncertain environment. This paper BP neural network technology innovation in enterprises in the application of risk assessment to be explored.
出处
《黑龙江对外经贸》
2007年第12期60-62,共3页
Heilongjiang Foreign Economic Relations and Trade
关键词
技术创新
风险
BP神经网络
technical innovation
risk factors
BP- neural networks
