灰色-马尔可夫组合模型在港口货物吞吐量预测中的应用

Shuang Liu, Lixia Tian
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引用次数: 4

摘要

本文提出了一种灰色GM(1,1)模型和马尔可夫链模型相结合的动态分析模型,作为灰色马尔可夫模型来预测货物吞吐量。由于单灰色GM(1,1)模型的预测精度较低。灰色马尔可夫模型可以提高货物吞吐量预测的准确性。该组合模型具有灰色预测法和马尔可夫链预测法的优点。利用秦皇岛港口的数据对灰色-马尔可夫模型进行了评价,结果表明,灰色-马尔可夫模型的精度优于灰色模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of Grey-Markov combined model for port cargo throughput forecasting
In this paper, we proposed a dynamic analysis model which combines grey GM(1,1)model and Markov chain model as the Grey-Markov model to predict the cargo throughput. Because the forecasting accuracy of single grey GM(1,1)model is lower. The Grey-Markov model can improve the accuracy prediction for the cargo throughput. The new combined model has the advantages of both Grey forecasting method and Markov chains forecasting method. Using the data of Qin Huangdao port is conducted to evaluate the Grey-Markov model which shows that the precision of the Grey-Markov model is better than the Grey model.
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