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基于组合模型的厦门港集装箱吞吐量预测

汪强 刘晓佳 闫长健 张荀

集美大学学报(自然科学版)2019,Vol.24Issue(1):31-36,6.
集美大学学报(自然科学版)2019,Vol.24Issue(1):31-36,6.DOI:10.19715/j.jmuzr.2019.01.05

基于组合模型的厦门港集装箱吞吐量预测

Container Throughput Prediction of Xiamen Port Based on Combinatorial Model

汪强 1刘晓佳 1闫长健 1张荀1

作者信息

  • 1. 集美大学航海学院, 福建 厦门3 61021
  • 折叠

摘要

Abstract

In order to predict the future development of container throughput of Xiamen Port with high precision, a model combining the Grey Verhulst with Markov is used to establish the forecasting model, and the container throughput data of Xiamen Port from 2018 to 2022 are obtained. The results show that the combined model reduces the average relative error from 3. 74% to 1. 65% and the prediction accuracy is Level one. The prediction results have higher reliability and can be used as a reference for the planning of container development in Xiamen Port.

关键词

集装箱吞吐量/灰色Verhulst/马尔科夫模型/厦门港

Key words

containert throughput/grey verhulst model/markov model/Xiamen Port

分类

交通工程

引用本文复制引用

汪强,刘晓佳,闫长健,张荀..基于组合模型的厦门港集装箱吞吐量预测[J].集美大学学报(自然科学版),2019,24(1):31-36,6.

基金项目

福建省教育厅项目 (JT180260) (JT180260)

集美大学学报(自然科学版)

1007-7405

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