交通需求预测方法是奥运交通研究的关键。
Methodology of traffic demand forecast is the key aspect of Olympic transport study.
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.
并且利用灰度分析以及神经网络方法举例分析了某一行业的人力资源需求预测方法。
And it gives an example using forecast method such as the gradation analysis as well as the nerve network method to analyze human resources demand in some industry.
需求预测方法阐述深入，将对当前一些城市在OD调查与预测上无从着手有指导意义；
The methods of demand forecast studys deeply, which will instruct some cities in the aspect of the OD survey and forecast.
为改进我国传统小汽车出行需求预测方法，基于活动理论建立了小汽车使用预测非集计模型。
To improve the conventional car travel forecasting method, an active-based car use model has been constructed.
采用群体预测法对产成品的需求预测方法进行了改进，并基于报童模型确定了产成品的最佳生产量。
Groups using projections on the demand for finished goods improved forecasting method, and based on the newsboy model to determine the best finished goods production.
改进策略运用到的方法包括需求预测方法、粗能力计算方法、作业排序法、物料ABC分类管理法等。
The methods used in the improvement measurement includes demand forecasting, rough capacity planning, work job queuing method, ABC material management, etc.
其次，本文在借鉴国内外客运专线客运量预测方法的基础上，构建基于广义费用的客运专线需求预测方法。
Secondly, it proposed a passenger demand forecast method of PDL based on generalized cost after introducing high-speed railway passenger traffic forecasting methods with both domestic and abroad.
通过对市场需求预测方法的分析，就国内PAN基炭纤维市场需求特点，对未来市场进行了定性和定量预测。
Based on the analysis of PAN -cf present situation and forecasting methods, the paper forecasted its market demand in the future qualitatively and quantitatively.
对于规划新城区，传统的四阶段交通需求预测方法难以使用，因为交通生成和分布预测所必需的条件无法满足。
For new urban distracts, the traditional 4-phase transportation demand forecasting model can not be used, because of the lack of the trip production and distribution phase data.
当交通系统中引入新的交通方式时，传统的基于实绩选择调查数据的交通需求预测方法对于方式分担预测将会无效。
When a new traffic mode is introduced into current transportation system, the conventional travel demand forecasting method based on revealed preference data will be useless for modal split.
简要回顾了各种电力需求预测方法，并针对最近兴起的神经网络方法的不足，提出了用自组织数据挖掘技术进行电力预测。
With a brief review to the prediction methods for electricity demand, the self-organization of data digging is introduced to predict the demand of electricity.
传统的人力资源需求预测方法存在着局限性，近年来将多个预测模型集成在一起的“组合预测”法是一种较好的预测方法。
The traditional forecast method of the demand of talent resources has its limitations. The combination forecasting method, which is made up of several forecasting models, is a good method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
然后在分析总结停车需求预测方法的基础上，提出了基于数据挖掘技术的机动车OD停车需求预测方法，并建立了相应的数学模型。
Secondly, on the basis of the methods of parking demand predict are analyzed, this paper put forword the motor vehicle od parking demand predicting model based on data mining.
研究主要内容包括对外客运枢纽的形成机理、布局和选址模型、客运需求预测方法、换乘客流预测、衔接系统规划及综合评价研究等。
The study includes the formation mechanism, layout and location selection, passenger transfer forecasting theories, cohesion system planning theories and comprehensive evaluate methods, etc.
需求预测是很难的，不管用哪种方法，预测结果都不会非常精确。
Demand forecasting is difficult. No matter which method is used, it will not be accurate.
表明此法是一种可行的方法。对区域性开展木材需求预测研究具有实际意义。
The method, therefore, is feasible and practically significant to the regional research on the wood demand forecast.
文章对道路运输规划的内容进行了分析，并提出了进行需求预测的方法，确定了规划制定与实施的原。
This paper makes analyses on the contents of the road transportation planning, puts forward the methods for making the demands estimation, and determines the principles of planning and practicing.
根据基于活动的出行需求预测思想和建模方法建立了日活动计划模型。
According to the activity-based travel demand forecasting concept and modeling, a full-day activity pattern model was developed.
熵最大化方法被广泛应用于交通规划，为交通需求预测模型提供了理论依据。
Entropy maximization approach has been widely used in transportation planning. It provides theoretical basis for a class of forecast models on traffic demand.
城市用水量需求预测常见的方法有经验预测法、统计分析法、规划估算法、灰色预测法。
Common methods of urban water needs prediction are experience prediction, statistic analysis, planning estimate, and grey prediction.
主要针对现代物流管理中市场需求的特性和可预测性，探讨了需求预测的步骤和方法。
According to the forecasting characters of market demanding, discussion is made on the procedures and methods of the modern logistics management.
需要特别指出的是本文的两个主要研究成果：在关键人才需求预测中的“零基点”预测方法和在关键人才内部供给预测中的“三维评价模型”。
There are two results pointed out specially in the text that are "Zero Base" method in requirement forecast and "Three-Dimension Appraisingmodel" in supplies forecast of the key persons.
运用广义加权平均组合预测模型进行市场需求预测，以克服传统的单一市场预测方法的不足。
The combination forecasting model of generalized weighted proportional means which to overcome the inadequacy of traditional single market forecasting method, was used to forecast market demands.
在需求决策系统中，分析了需求决策过程、需求决策体系以及需求预测的方法选择。
In demand decision system, the demand decision process, demand decision system and demand forecasting approach selection are analyzed.
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.
本文将基于支持向量回归的数据挖掘方法，用于服务备件需求预测研究中。
This paper applies a new data mining method based on SVR (support vector regression) in the prediction of the spare parts requirement.
最后，提出了基于需求预测的安全库存量确定方法和安全库存基于时间的优化方法。
Finally, the paper puts forward the method of determining the safety stock based on the demand prediction, and optimization method based on time.
为减小城市交通需求预测中由于土地使用分析方面造成的误差，提出了一种基于城市区位差异分析的新的改进方法。
To reduce the error that comes from the analysis about the land use, authors put forward an improvement based on city location difference.
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