Comparison of Different Approaches of Machine Learning Methods with Conventional Approaches on Container Throughput Forecasting

Comparison of Different Approaches of Machine Learning Methods with Conventional Approaches on Container Throughput Forecasting

Container transportation is an important mode of international trade logistics in the world today, and its changes will seriously affect the development of the international market. For example, the COVID-19 pandemic has added a huge drag to global container logistics. Therefore, the accurate foreca...

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Bibliographic Details
Main Authors: Shuojiang Xu, Shidong Zou, Junpeng Huang, Weixiang Yang, Fangli Zeng
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
comparison
machine learning
conventional approach
time series
forecasting
container throughput
Online Access:https://www.mdpi.com/2076-3417/12/19/9730

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https://www.mdpi.com/2076-3417/12/19/9730

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