Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network

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datacite.relatedItem.firstPage366
datacite.relatedItem.issue9
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume8
dc.contributor.authorYong Han
dc.contributor.authorCheng Wang
dc.contributor.authorYibin Ren
dc.contributor.authorShukang Wang
dc.contributor.authorHuangcheng Zheng
dc.contributor.authorGe Chen
dc.date.accessioned2025-05-14T15:29:00Z
dc.date.available2025-05-14T15:29:00Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.3390/ijgi8090366
dc.identifier.otherjz000156-0363
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28740
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleShort-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28741
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