Human Error Risk Assessment Model for Air Traffic Control Based on GA-BP Algorithm
Zhou Han · Research and Exploration in Laboratory · 2014
The safety of air traffic control is an important factor to ensure flight safety,in order to improve the safety of air traffic control system,it is necessary to assess the risk of human error of air traffic control system.A SHEL model was constructed based on the controller's error evaluation index system.Because the BP neural network algorithm is easy to fall into local minimum,the paper introduces genetic algorithm to optimize neural network weights and threshold to establish a hybrid algorithm.Evaluation showed that comparing with the traditional prediction BP neural network model with GA-BP algorithm is more accurate,feasible and applicable.It provides certain reference for strengthening the construction of aviation safety management system.