Research on Civil Aviation Flight Security Risk Assessmentm Based on BP Neural Network

With the development of civil aviation, civil aviation flight security receives wider attention. It is of great significance to conduct flight security risk assessment to improve flight security level. In order to assess the risk of aircraft flight in time, based on the fishbone diagram of civil aviation section accident, using analytic hierarchy process, a civil aviation section security risk assessment index system is presented. Moreover, the weights between factors are determined. Using weight data as input, BP neural network is used to analyze weight data, a model of civil aviation section security risk assessment based on BP neural network is established. Four-level evaluation system was used to evaluate the output results. The effectiveness of the model in civil aviation section security risk assessment is verified by an example simulation.