摘要
随着中国民航运输事业的快速发展,航空运输已经成为主流的运输方式。由于日益增多的航空器使得航班密度不断增加,变化多端的天气等诸多因素使得航班延误问题日益突出,如何高效的解决航班延误问题就显得至关重要。另一方面神经网络技术发展逐步走向成熟,所以用改进神经网络模型解决航班延误问题就显得十分的合适。
With the rapid development of China's civil aviation transportation,air transportation has become the mainstream mode of transportation.Due to the ever-increasing number of aircrafts,the increasing density of flights,the changing weather and many other factors have made the problem of flight delays increasingly prominent.How to efficiently solve the problem of flight delays becomes crucial.On the other hand,the development of neural network technology is gradually becoming mature,so it is very appropriate to use an improved neural network model to solve the problem of flight delays.
作者
陈兴瑞
何光勤
CHEN Xing-rui;HE Guang-qin(China Civil Aviation Flight University of China,Guanghan 618307,China)
出处
《价值工程》
2020年第33期191-192,共2页
Value Engineering
关键词
改进神经网络
延误预测
高效
improved neural network
delay prediction
high efficiency