1) 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。
2) passenger person-kilometres
客运周转量，客运工作量
3) passenger traffic capacity and its turnover
客运量和周转量预测
4) passenger-kilometer
旅客周转量
1.
Based on the data of highway passenger-kilometers and freight-kilometers in Fujian Province,the neural network model with three inputs and single output were established,and highway passenger-kilometers and freight-kilometers were predicted.
以福建省公路旅客周转量和货物周转量的统计资料为基础,结合神经网络技术原理,应用BP神经网络方法建立3维输入、单输出、隐层单元数为15的3层神经网络模型,分别对福建省公路旅客周转量和货物周转量进行预测。
6) freight turnover of combined transport
联运周转量
补充资料：货物周转量
货物周转量：是指在一定时期内，由各种运输工具实际完成运送过程的以重量和运送距离的复合单位（吨公里）计算的货物运输量。把各种运输工具采用各种运输形式（铁路、公路、水运、空运、
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