Neural network classification of aviation personnel as an element of the information and control space for the security of a transport infrastructure object

Abstract

The following article considers the development of a neural network assessment program for the level of readiness of aviation security personnel to carry out professional activities. The collection and preparation of initial data for training a neural network were carried out, a neural network was studied in the MATLAB system to assess the level of readiness of aviation security personnel to perform professional activities. As a result of the study, it was found out that the neural network provided precision 100%, recall — 97.4%, specificity — 95.9%. The dialogue program for assessing the competencies of aviation security personnel has been developed, based on the neural network parameters obtained in the MATLAB system in C++.