A Pricing Model for Urban Rental Housing Based on Convolutional Neural Networks and Spatial Density: A Case Study of Wuhan, China

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datacite.relatedItem.firstPage53
datacite.relatedItem.issue1
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume11
dc.contributor.authorHang Shen
dc.contributor.authorLin Li
dc.contributor.authorHaihong Zhu
dc.contributor.authorFeng Li
dc.date.accessioned2025-05-14T13:29:02Z
dc.date.available2025-05-14T13:29:02Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/ijgi11010053
dc.identifier.otherjz000147-0050
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23388
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA Pricing Model for Urban Rental Housing Based on Convolutional Neural Networks and Spatial Density: A Case Study of Wuhan, China
dc.typeArticle
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