摘要
运用灰色系统模型、线性回归模型等方法预测制造业产业安全各评价指标,将所得预测值同历史数据相结合,建立三层BP神经网络。在此基础上,对我国制造业产业安全未来状况进行了系统预警。结果表明,未来我国制造业产业安全状况良好,只需做轻度防范。
In this paper, we use several methods like the gray system model and linear regression model to predict each evaluation of the manufacturing industrial security, then combine the predictive value with historical data to establish a three-ply BP neural network. On this basis, the future status of our manufacturing industrial security system is alarmed in advance. Early warning results of the BP neural network show that： our manufacturing industrial security will keep in good condition in future, we only need to guard against it mildly.
出处
《北京工业大学学报（社会科学版）》
CSSCI
2010年第1期8-16,共9页
Journal of Beijing University of Technology (Social Sciences Edition)
基金
教育部规划基金项目资助(08JA790053)
关键词
制造业产业安全
评价指标
灰色预测
BP神经网络
系统预警
manufacturing industrial security
evaluation
gray forecast
BP neural network
early warning of the system
