Citation

Gan XS, Li HP. Adv. Mater. Res. 2014; 989-994: 2671-2674.

Copyright

(Copyright © 2014, Trans Tech Publications)

DOI

10.4028/www.scientific.net/AMR.989-994.2671

PMID

unavailable

Abstract

To assess the safety situation in air traffic control effectively, a comprehensive assessment method based on RBF neural network is proposed. At first, the safety assessment principle based on RBF neural network is introduced, and then the safety assessment index system for air traffic control is established from four aspects of human, machine, environment and management. Simulation example of ATC safety assessment gives us a satisfactory result for RBF neural network.