对BP神经网络模型进行了改进，并用于机场物流吞吐量的预测。
The paper improves the BP neural network model and applies it in the handling volume forecast of airport logistics.
交通集团为客运和货运、交通管理、邮政自动化和机场物流提供整合的解决方案。
The Mobility Division offers integrated solutions for passenger and freight transport, traffic management, postal automation and airport logistics.
文中在分析现有机场物流预测模型不足的基础上，利用灰色系统理论，建立了成都双流机场货、邮吞吐量的预测模型。
On the basis of analyzing the deficiency of airport logistics prediction with the existing method, by using gray-system theory, a model is established to predicate throughput of Shuangliu airport.
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