货运量

加权马尔可夫模型在公路货运量预测中的应用

The Model of Weighted Markov Chain Applies to the Prediction of Volume of Goods Transported

基于GM（1,1）模型的山西省铁路货运量发展趋势分析

Analysis on the Developing Tendency of Volume of Rail Freight of Shanxi Province Based on GM ( 1 , 1 ) Model

铁路将承担比例高得多的货运量。

The railways will carry a far higher proportion of freight traffic

基于RoughSet理论的铁路货运量预测

Prediction of Railway Freight Volumes Based on Rough Set Theory

基于多因素的铁路货运量BP神经网络预测研究

Research on BP Neural Network Forecast of Railway Freight Volume based on Multi-factor

单位GDP货运量与城市产业结构关系

The Research of the Relationship Between the Freight Volume Per GDP and the Urban Industrial Structure

建立了BP神经网络预测模型，运用MATLAB编程对老挝公路客、货运量进行了预测。

Established a BP neural network prediction model , using MATLAB programming to Laos highway passenger and cargo were predicted .

基于MATLAB的ANFIS网络在水运货运量预测中的应用

MATLAB Based Application of ANFIS Network to Forecast of Volume of Water Freight

基于层次结构模型的RBF神经网络货运量预测方法

The Radial Basis Function Neural Network Model for Freight Volume Forecast Based on Hierarchy Configuration Model

首先建立GM（1,1）灰色动态拟合模型，并以此作为公路货运量发展变化的动态基准线模型；

Firstly , a GM ( 1,1 ) is built to get the dynamic baseline for highway freight development .

根据p？中位问题的建模思路，依据航班时刻和货运量，分别建立了最少配送次数、最短配送时间和运费有折扣情况下的最低运输成本的优化模型，并对模型进行求解。

Three models were built to solve the problem . The targets of the models were minimum delivery time , least delivery times and minimum transportation cost under the condition of freight discount .

基于ARIMA模型的重庆货运量预测

On Application of ARIMA Model in the Estimation of Chongqing Goods Transportation

结果表明：货运量与GDP之间具有长期均衡关系，交通运输业能带动整个国民经济的发展。

The results shows that there is a long term equilibrium between freight traffic and GDP . , and transportation can spur on the development of the national economy .

铁路货运量与其影响因素之间存在着复杂的非线性关系，传统的BP神经网络模型能对非线性系统进行很好的拟合，但模型的预测能力不强。

The relation between railway freight volume and its influence factors is complex and nonlinear . The BP Neural Network can simulate the nonlinear system perfectly , but its forecast ability is deficient .

利用RoughSet理论通过对数据进行分析和推理发现隐含知识的优点，在结合该理论与铁路货运量预测要求的基础上，提出一个基于RoughSet理论的铁路货运量预测流程；

Rough Set Theory can find some potential knowledge by data analysis . Combining Rough Set Theory and the demand of prediction of railway freight volumes , we bring forward a procedure of prediction using Rough Set Theory .

通过对云南铁路货运量和货运需求量的计算，应用MATLAB仿真技术验证了模型的正确性，并对云南铁路货运量和货运需求量进行了预测。

By calculating the freight transport volume as well as the demand , via MATLAB simulation technology , it validates the model and carries out the forecast to the freight transport volume and demand for Yunnan railways .

结果表明，山东省交通状况与经济增长之间存在着长期稳定关系，货运量是地区GDP的Granger原因，交通运输对经济增长的作用正在增加。

The test results show that the correlation is positive , transportation growth is the Granger causality of economic growth and the effect of transportation on economic growth has become greater and greater .

例如，最新数据显示，过去12个月，迪拜机场（dubaiairport）的客运量和货运量分别增长了8%和17.7%。

For example , according to the latest figures , Dubai Airport registered over the past 12 months an 8 per cent and a 17.7 per cent increase in passenger and freight traffic respectively .

基于Holt-Winter模型的铁路货运量预测研究

Study on the Forecast of Railway Freight Traffic Volume Based on Holt-Winter Model

并通过建立VAR模型和脉冲响应函数分析了GDP、货运量和客运量三者之间的关系；定量方面，采用神经网络对航运发展对经济关系进行了分析。

With the method of VAR , the relationship between transportation and development of economic are established through impulse response functions . For quantitative analysis , the relationship between maritime develop and GDP is analyzed by BP Neural Network .

为有效进行交通货运量预测，通过对货运量影响因素的分析，建立了关于货运量影响因素的层次分析模型，根据该模型构建了基于RBF神经网络的货运量预测方法。

To forecast the freight volume more effectively , the authors analyzed the factors influencing freight volume and established an AHP model . Based on this model , a radial basis function neural network model for freight volume forecasting was presented .

基于BP-SA混合优化策略的铁路货运量时间序列预测

Forecast on Temporal Sequence of Railway Freight Transport Volume based on BP-SA Mixing and Optimizing Solution

本文开展了平原水网地区航道网规划方法的研究，提出了采用固定资产投资完成额与货运量回归预测模型；平均信息量用户最优分布模型预测货物O-D的分布；

It is proposed that the fixed capacity investment and cargo discharge regression forecasting model and the optimal average information customer distribution model can be used to predict the cargo O-D distribution .

我国水路货运量短期预测模型

Monthly forecasting time series model for Chinese water transport freight volume

湖南省农业经营性运输货运量需求问题研究

The Agricultural Commercial Freight Transportation Demand Problem Research of Hunan Province

灰色系统理论在道路货运量、货运周转量预测中的应用

Forecast Freight Quantity and Turnover Quantity Based on Grey Model Theory

用改进的前向神经网络预测铁路货运量

An Improved Feedforward Neural Network Method for Predicting Railway Freight Transportation

云南铁路货运量增长问题研究

Study on the Increase of Freight Transport Volume in Yunnan Railways

铁路货运量组合预测模型的研究

The Study of Comprehensive Forecast Model for Railway Freight Transport Volume

水运货运量预测系统分析

System analysis for forecast system of transport volume in Jinsha River