1) cargo & mail turnover volume
货邮周转量
2) freight turnover
货物周转量
1.
Forecast of Total Social Freight Turnover Based on Improved Time-series;
基于改进时间序列法的全社会货物周转量预测
2.
The grey correlations on freight tonnages,freight turnover and major economic index are analysed in this paper.
通过实例,对货运总量、货物周转量与主要经济指标之间进行灰关联分析,寻找出现阶段影响区域物流量的经济指标的主次关系,得出工业总产值和社会消费品零售总额分别成为影响货运总量及货物周转量的优先经济指标。
3) freight-kilometer
货物周转量
1.
Based on the data of highway passenger-kilometers and freight-kilometers in Fujian Province,the neural network model with three inputs and single output were established,and highway passenger-kilometers and freight-kilometers were predicted.
以福建省公路旅客周转量和货物周转量的统计资料为基础,结合神经网络技术原理,应用BP神经网络方法建立3维输入、单输出、隐层单元数为15的3层神经网络模型,分别对福建省公路旅客周转量和货物周转量进行预测。
5) Freight Ton-kilometers
货物周转量
1.
Forecast Regional Freight Ton-kilometers Considering The Influence of Stochastic Fluctuations
考虑随机波动影响的区域货物周转量预测
6) Road freight turnover
公路货运周转量
1.
The simulation of the algorithm took the road freight turnover as an example,used BP algorithm and the extended Kalman filter algorithm respectively to train the artificial neural network and forecast the road freight turnov.
文中仿真以全国历年公路货运周转量为例,分别采用BP算法和扩展卡尔曼滤波算法对神经网络进行训练,2种训练方法预测的结果对比表明扩展卡尔曼滤波训练算法具有更好的准确性和更高的运算效率。
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