Application of artificial neural network in apron′s pro-warning
Song Chang-jin · Journal of Civil Aviation University of China · 2011
Apron is an important part of the airport.Apron′s safety is the focus of airport security.There are many factors that affect the safe operation of the apron,so that monitoring of these elements and giving an early warning can reduce the apron risks and ensure the normal operation of the airport.The paper classifies the main factors and extract the common factors using factor analysis on the impact of ramp safety.Then,these common factors are trained and make predictive analysis by artificial neural network,and get the safety situation in the Yaoqiang airport finally.