The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes

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datacite.relatedItem.firstPage391
datacite.relatedItem.issue9
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume8
dc.contributor.authorHossein Moayedi
dc.contributor.authorDieu Tien Bui
dc.contributor.authorMesut Gör
dc.contributor.authorBiswajeet Pradhan
dc.contributor.authorAbolfazl Jaafari
dc.date.accessioned2025-05-14T15:31:24Z
dc.date.available2025-05-14T15:31:24Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.3390/ijgi8090391
dc.identifier.otherjz000156-0388
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28840
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleThe Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28841
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