3) transport volume in Jinsha River
水运货运量
1.
System analysis for forecast system of transport volume in Jinsha River;
水运货运量预测系统分析
4) railway freight volume
铁路货运量
1.
Railway Freight Volume Prediction Based on Variable-weight Combined Model
基于变权重组合模型的铁路货运量预测
2.
The relation between railway freight volume and its influence factors is complex and nonlinear.
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。
3.
The improved Gray-Markov Method is employed to forecast the future development of the china railway freight volume.
本文将灰色模型预测方法GM(1,1)和马尔可夫链预测相结合,提出灰色马尔可夫链改进预测方法,并且针对我国铁路货运量的发展趋势进行了预测,得出比灰色预测更加准确的结论。
5) highway freight volume
公路货运量
1.
In the paper,aiming at shortcoming of tradition Gray prediction model,the fluctuation polynomial was utilized to displace the exponent curve in the model of GM(1,1),and the prediction results were adjusted by Markov chain,then the prediction model based on improved Gray-Markov chain was established,and the highway freight volumes were predicted by the model.
针对灰色模型的预测结果精确度受原始数据变化幅度的影响较大,且要求累加生成的数据列具有指数性质的缺点,采用带波动的多项式来替代GM(1,1)模型中的指数形曲线,并通过马尔可夫链对其预测结果进行修正,从而建立改进的灰色-马尔可夫链预测模型,同时利用该改进模型对我国公路货运量进行预测,经分析表明预测结果具有较高的精度,预测方法具有一定的可行性和有效性,预测结果可指导公路建设与管理。
2.
The combination forecasting model can serve as the newest idea for predicting the highway freight volume of Zhejiang province.
在合理选择单一预测模型的基础上,通过求解近似最优非负权重来建立组合预测模型,并运用概率统计方法对模型的适用性进行了验证,为浙江省公路货运量的预测提供了新思路。
6) highway and waterway freight transportation
公路水路货运
1.
This paper analyses the present status of highway and waterway freight transportation, builds up indicator system to evaluate the development and made research on the model to optimize transportation.
本文研究的主要内容是通过分析长三角公路、水路货运发展现状,建立衡量公路水路货运发展水平的指标体系,研究公路水路货运协调发展的模式,并提出促进货运协调发展的对策和措施。
补充资料：经验指数预测法(见发生量预测)
经验指数预测法(见发生量预测)
经验指数预测法见发生量预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条