House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China

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dc.contributor.authorZimo Wang
dc.contributor.authorYicheng Wang
dc.contributor.authorSensen Wu
dc.contributor.authorZhenhong Du
dc.date.accessioned2025-05-14T14:04:26Z
dc.date.available2025-05-14T14:04:26Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/24965
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleHouse Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution3aac6d0c-4aaa-47d7-8558-d1b605ca5662
relation.isDatasetOfDistribution.latestForDiscovery3aac6d0c-4aaa-47d7-8558-d1b605ca5662

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