A novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction

Basit Öğe Kaydı
dc.contributor.authorKurnaz, T. Fikret
dc.contributor.authorKaya, Yilmaz
dc.date.accessioned2024-12-24T19:25:00Z
dc.date.available2024-12-24T19:25:00Z
dc.date.issued2019
dc.departmentSiirt Üniversitesi
dc.description.abstractThis study presents a novel ensemble group method of data handling (EGMDH) model based on classification for the prediction of liquefaction potential of soils. Liquefaction is one of the most complex problems in geotechnical earthquake engineering. The database used in this study consists of 212 CPT-based field records from eight major earthquakes. The input parameters are selected as cone tip resistance, total and effective stress, penetration depth, max peak horizontal acceleration and earthquake magnitude for the prediction models. The proposed EGMDH model results were also compared to the other classifier models, particularly the results of the group method of data handling (GMDH) model. The results of this study indicated that the proposed EGMDH model has achieved more successful results on the prediction of the liquefaction potential of soils compared to the other classifier models by improving the prediction performance of the GMDH model.
dc.description.sponsorshipMersin Technology Transfer Office Academic Writing Center of Mersin University
dc.description.sponsorshipThis academic work was linguistically supported by the Mersin Technology Transfer Office Academic Writing Center of Mersin University.
dc.identifier.doi10.1007/s12665-019-8344-7
dc.identifier.issn1866-6280
dc.identifier.issn1866-6299
dc.identifier.issue11
dc.identifier.scopus2-s2.0-85066492707
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s12665-019-8344-7
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6225
dc.identifier.volume78
dc.identifier.wosWOS:000469817700003
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironmental Earth Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectLiquefaction
dc.subjectSoft computing
dc.subjectGroup method of data handling
dc.subjectEnsemble model
dc.titleA novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu