Research on Military Aviation Air Traffic Control Safety Assessment Based on AFSA-SVM

Abstract

In order to improve the safety management level of military aviation Air Traffic Control (ATC), based on Artificial Fish Swarm Algorithm (AFSA) and Support Vector Machine (SVM), a combined assessment method is proposed for military aviation ATC safety. In this method, firstly, according to the established military aviation safety evaluation index system, the concepts of set pair and connection degree in SPA theory are introduced to generate training samples and test samples. Then AFSA is adopted to optimize the hyper-parameters of SVM. Then training and testing are completed to obtain the military aviation safety evaluation model. The example analysis shows that the evaluation model established is of great practical significance for improving the safety management and decision-making level of military aviation management.