A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport San...
A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport Sanitary Facilities
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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An accurate prediction of freight volume at the sanitary facilities of seaports is a key factor to improve planning operations and resource allocation. This study proposes a hybrid approach to forecast container volume at the sanitary facilities of a seaport. The methodology consists of a three-step procedure, combining the strengths of linear and...
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Full title
A Clustering-Based Hybrid Support Vector Regression Model to Predict Container Volume at Seaport Sanitary Facilities
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TN_cdi_doaj_primary_oai_doaj_org_article_a4f695a4d6384360bc6ba2a5572ecacb
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a4f695a4d6384360bc6ba2a5572ecacb
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app10238326
