railway freight volume forecasting 铁路货运量预测
road freight volume forecasting 公路运输量预测
After analyzing the data on railway freight volume of recent years, the authors establish the railway freight volume forecasting model by use of grey theory.
通过对近年全国铁路货运量的统计数据进行分析，运用灰色理论建立了铁路货运量预测模型。
Meanwhile, the length of time on training sample was determined as the recent complete economic cycle when using artificial neural network for railway freight volume forecasting.
并提出在利用人工神经网络进行铁路货运量预测时，训练样本的时间长度为最近的一个完整经济周期。
Aiming at solving the demanding problem of road traffic system in exactly forecasting the traffic freight volume, an introduction is made into the Grey Model GM (1, 1) for forecasting.
针对公路交通系统在准确预测交通运量时的棘手问题，引进灰色预测GM(1,1)模型进行预测。
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