The performance comparison of the soft computing methods on the prediction of soil compaction parameters

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dc.contributor.authorKurnaz, Talas Fikret
dc.contributor.authorKaya, Yilmaz
dc.date.accessioned2024-12-24T19:24:58Z
dc.date.available2024-12-24T19:24:58Z
dc.date.issued2020
dc.departmentSiirt Üniversitesi
dc.description.abstractThe compaction parameters of soils known as the optimum moisture content (OMC) and maximum dry density (MDD) are necessary for the geotechnical engineering applications such as the fills, embankments, and dams. However, it takes a long time to determine the compaction parameters due to the laboratory test procedure. It was aimed to estimate the compaction parameters of soils with four soft computing methods and also to compare the performance of the methods in this study. For this purpose, a wide database consisting the index and standard proctor (SP) test results were used. Although all AI methods used in this study are successful on estimation of the MDD and OMC parameters, it was seen that the ELM method was the most successful method on the prediction of compaction parameters.
dc.identifier.doi10.1007/s12517-020-5171-9
dc.identifier.issn1866-7511
dc.identifier.issn1866-7538
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85079131502
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1007/s12517-020-5171-9
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6213
dc.identifier.volume13
dc.identifier.wosWOS:000513629600002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofArabian Journal of Geosciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectCompaction
dc.subjectMaximum dry density
dc.subjectOptimum moisture content
dc.subjectSoft computing
dc.titleThe performance comparison of the soft computing methods on the prediction of soil compaction parameters
dc.typeArticle

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