Simultaneously, the results for the railway cargo volume forecasting in2005and2010are presented.
同时，基于两种预测方法给出了铁路货运的2005年和2010年预测结果。
Ship traffic volume forecasting is a new domain which combines water traffic engineering with economic forecasting.
船舶交通流量预测是将水运工程技术和经济预测技术有效结合的起来的一个新兴的学科领域。
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。
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。
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