3) 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。
4) transportation forecast
货运量预测
1.
The applying of line model in transportation forecast;
线性回归模型在货运量预测中的应用
5) Railway Freight Turnover
铁路货运周转量
1.
Empirical Study on the Choose of Forecast Model for Railway Freight Turnover;
铁路货运周转量预测模型的选择及实证研究
6) railway accommodation
铁路客货运容量
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