【摘要】 提出高校保密项目风险预测指标体系,通过主成分分析对众多指标进行特征提取,并约减相关冗余信息,降低了RBF网络的输入维数。利用RBF网络对高校保密项目泄密风险进行预测,并与只使用RBF网络进行预测的结果做了对比,表明基于主成分分析—RBF网络的预测结果更精确。更多还原

【Abstract】 This paper puts forward a total risk premonition index system.The principle component analysis is used to select the most relevant process features and to eliminate the correlations of the input variables,and also to reduce RBF network’s input dimensions.Based on RBF network,the paper has efficiently predicted college confidential project risk.The result proves that the method is of high precision and great applicability.更多还原