整体趋势的把握和短期精确预测保证了国际干散货运价分析结果在实际工作中具有一定的指导意义。
The grasp of the whole tendency and short-term precise prediction guarantee the analyzed result of international dry-bulk shipping price to be of certain guidance in practice.
通过对近年全国铁路货运量的统计数据进行分析，运用灰色理论建立了铁路货运量预测模型。
After analyzing the data on railway freight volume of recent years, the authors establish the railway freight volume forecasting model by use of grey theory.
该模型克服了货运量的单调性和周期波动性给预测带来的困难。
The model overcomes the unpredictability due to monotonicity and periodical fluctuation of freight volume.
本文介绍了按行业货运需求预测方法的理论基础与计算。
This paper introduces theoretical basis and calculation of methods of transportation demand forecast for productive industries.
该文通过对珲春边境合作区的经济状况及客运量、货运量增长率的分析，对该地区的交通量预测方法进行了详细介绍。
Through the analysis of the economical status, and the increasing rates of the passenger transport and the freight, the article introduces the traffic forecast method of this area in detail.
影响道路货运量预测的因素，往往呈复杂的非线性关系。
Many factors of road freight forecast have complex and nonlinear relations.
目的在于提高铁路货运运量预测能力，实现铁路货运的合理运输。
The purpose was that advance railway freight transportation volume anticipation ability, implemented the rationality of railway freight transportation.
通过货运强度与人均出行次数这两个特征变量进行运输需求预测，这种间接预测方法更能把握预测的本质与结果的合理性。
In this paper, transportation demand is forecasted with characteristic variables about the intensity of freight transport and per capita going number.
通过各种算法对货运指标进行有效预测，对于把握未来货运发展趋势有着非常重要的作用。
It is very important to predict the indicators of freight by a variety of algorithms for grasping the freight trends in the future.
并提出在利用人工神经网络进行铁路货运量预测时，训练样本的时间长度为最近的一个完整经济周期。
Meanwhile, the length of time on training sample was determined as the recent complete economic cycle when using artificial neural network for railway freight volume forecasting.
同时，基于两种预测方法给出了铁路货运的2005年和2010年预测结果。
Simultaneously, the results for the railway cargo volume forecasting in2005and2010are presented.
货运适站量的预测是确定公路主枢纽货运站规模和功能的重要依据。
How to determinate magnitude and function of freight terminal of highway transport hub is mainly based on forecast for the volume of freight handled.
货运量的预测问题是规划者进行交通规划的基本问题。
Forecasting the freight volume is always deal with when planning traffic and transportation.
本文采用径向基函数(RBF)神经网络对货运量进行分析及预测。
The radial basis function (RBF) neural network is adopted to analyze and predict freight volumes.
航空货运量的预测一直是航空公司关注的问题。
Airlines have always focused on the problem of forecasting the air cargo volumes.
对供应链管理中物流系统的货运量问题进行研究，给出了新的货运量组合预测模型。
The question of volume of freight in the logistics system on the supply chain management is discussed. And a new combination forecasting model of volume of freight is made out.
关于货运量预测的研究已有很长的历史，在实际中一般都采用定量预测的方法。
FVF has been studied for a long history. Quantitative prediction was commonly used in practice.
对供应链管理中物流系统的货运量问题进行研究，给出了新的货运量组合预测模型。
The question of volume of freight in the logistics system on the supply chain management is discussed.
论文采用回归分析预测法建立了一元回归预测模型来预测公司近期2009年至2013年公司的货运需求。
Paper establishes a regression prediction model to predict the company's freight demand from 2009 to 2013.
本文的主要工作有：1、现有货运周转量预测方法的搜集和总结。
The main job of this paper is as following:1. Collection & Summary of forecasting methods.
本文的主要工作有：1、现有货运周转量预测方法的搜集和总结。
The main job of this paper is as following:1. Collection & Summary of forecasting methods.
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