Prediction of Operation Time of Container Ship at Berth under Uncertain Factors Based on a Hybrid Model Combining PCA and ELM Optimized by IPSO

Prediction of Operation Time of Container Ship at Berth under Uncertain Factors Based on a Hybrid Model Combining PCA and ELM Optimized by IPSO

With the rapid development of global trade, the turnover of shipping containers has increased rapidly. How to use port resources reasonably and efficiently has become one of the main challenges that ports need to deal with when planning for the future. In order to develop scientific and efficient be...

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Bibliographic Details
Main Authors: Zhaohui Li, Lin Wang, Wenjia Piao, Hao Jia, Shan Dong, Jiehan Zhang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Marine Science and Engineering
Subjects:
prediction of operation time at berth
principal component analysis
extreme learning machine
improved particle swarm optimization
Online Access:https://www.mdpi.com/2077-1312/10/12/1919

Internet

https://www.mdpi.com/2077-1312/10/12/1919

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