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1)  passenger traffic capacity and its turnover
客运量和周转量预测
2)  passenger turnover quantity
客运周转量
1.
To forecast the passenger transport industry, forecast models of passenger turnover quantity of railway, highway and civil aviation in China are established respectively based on GM(1,1) forecast model according to the data from 2001~2005.
采用灰色系统理论中的GM(1,1)模型,选取2001~2005年我国客运运量数据,分别建立了铁路、公路和民航客运周转量的预测模型,经检验,模型精度等级较高。
2.
Based on the gray model GM(1,1),the road passenger transport quantity and the passenger turnover quantity are predicted,so the complicated correlativity is abstained,the problem caused by the discreteness of original data is solved,and the results of the high-precision prediction are achieved.
基于灰色系统GM(1,1)模型对道路客运量及客运周转量进行预测,可避免复杂的相关关系分析,解决由于原始数据离散带来的困难,得到高精度的预测结果。
3)  passenger transport volume forecast
客运量预测
1.
The instance indicates that the highway passenger transport volume forecast models embodies the high precision can be applied in short-term highway passenger transport volume forecast with the more explicit development.
运用主成分回归分析法,将影响公路客运量的众多相关因素简化为少数不相关因素,消除因变量过多导致的多重共线性,可构建公路客运量预测模型。
4)  passenger person-kilometres
客运周转量,客运工作量
5)  forecast of railway freight ton-kilometers
周转量预测
6)  urban passenger transport prediction
城市客运量预测
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。
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