Mapping Mineral Prospectivity Using a Hybrid Genetic Algorithm–Support Vector Machine (GA–SVM) Model

datacite.relatedItem.firstPage766
datacite.relatedItem.issue11
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorXishihui Du
dc.contributor.authorKefa Zhou
dc.contributor.authorYao Cui
dc.contributor.authorJinlin Wang
dc.contributor.authorShuguang Zhou
dc.date.accessioned2025-05-14T13:16:33Z
dc.date.available2025-05-14T13:16:33Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10110766
dc.identifier.otherjz000145-0761
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/22858
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleMapping Mineral Prospectivity Using a Hybrid Genetic Algorithm–Support Vector Machine (GA–SVM) Model
dc.typeArticle
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