基于灰色预测模型的交通指标预测

P. Hui, Wenqi Qu, Junjian Tang, J. Chen
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引用次数: 3

摘要

灰色预测模型是数据挖掘领域的一种数据预测方法。本文首先介绍了灰色预测模型的构建。然后,为了获得更高的预测模型精度,介绍了如何选择调整参数对原模型进行调整的方法。最后以图的形式描述了预测过程,并对其进行了详细的说明。通过实例分析,对湖南省交通局的50项交通指标进行了预测。验证了灰色预测模型及其调整参数的有效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic Indexes Prediction Based on Grey Prediction Model
The grey prediction model is a kind of data prediction method in data mining area. The construction of the grey prediction model is introduced in the paper first. Then in order to obtain higher precision of the prediction model, the way on how to select adjust parameters to adjust the original model is introduced. Finally the prediction procedure is described in a figure and it is explained in details. In case study, fifty traffic indexes come from transport bureau of Hunan province are predicted. It shows the effect and efficiency of the grey prediction model and its adjust parameters.
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