民航运行风险的灰色神经网络模型

采用灰色神经网络的方法，建立了中国民航运行风险的非线性在线模型。模型以风险监测指标作为输入，以评价民航安全的综合指数作为输出。编写了模型计算软件进行仿真计算，计算结果表明，模型预测值与实际安全综合指数值吻合较好，验证了方法的正确性。利用该模型既可以确定风险监测指标中的主要影响指标，为民航降低运行风险提出合理的建议；又可以对民航安全的综合指数进行分析，为行业的安全运行提供预警。

Gray neural network model of China civil aviation safety risk

China civil aviation risk non-linear online model was developed by using gray neural network method. Risk model inputs are risk monitoring indicators about China civil aviation safety and output is composite safety index of assessment China civil aviation industry safety. Numerical computation software was programmed based on this model. The agreement of the perception data of computation software with the actual data of composite safety index indicates that using gray neural network method is correct. Using this risk model the main influence factors from numerous risk monitoring indicators about civil aviation safety can be find out, and the reasonable proposal can be made for reducing China civil aviation safety risk. On the other hand, analysis of composite safety index of assessment China civil aviation industry safety can be made for providing a warn about China civil aviation safety.