摘要
Abstract
The prediction methods of freight handle used currently have some defects and lead to the result of prediction with big deviation to the real situation. For according with the real situation, a new algorithm of combination forecasting model with a many of intrinsic factors is proposed to predict air cargo. Under the background of Hong Kong International Airport, this paper uses the Shapley method to combine BP neural network and gray theory as a combination forecasting model, analyzing the airline transportation scale with real example. Finally, this approach is applied to predicting of other airports.关键词
组合预测/航空货运吞吐量/香港国际机场/GM(1,1)/BP/Shapley值法Key words
Combination forecasting! Air cargo/ Hong Kong International Airport/ GM(1 ,1)/ BP/ Shapley method分类
管理科学
