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An Optimization Method for the Land-Use Index in a Site Area: Improving the BP Neural Network Model Based on a Genetic Algorithm

dc.contributor.authorLi, Xiang
dc.contributor.authorDai, Runlong
dc.contributor.authorShu, Xingchuan
dc.contributor.authorLiu, Ziyi
dc.contributor.authorWei, Yao
dc.contributor.authorYanling, Siqi
dc.contributor.authorQiu, Zhiyue
dc.contributor.authorGu, YuXin
dc.contributor.authorYuan, Hong
dc.date.accessioned2026-08-20T21:01:59Z
dc.date.available2026-08-20T21:01:59Z
dc.date.copyright2026/04/13
dc.date.issued2026
dc.identifier.otherJUPDDM.UPENG-6003.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313847
dc.description.abstractAbstract The land-use layout in the core area of a station under the transit-oriented development (TOD) model plays a crucial role in shaping urban development. Although many rail transit stations have been constructed, most do not exhibit the intensive, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAn Optimization Method for the Land-Use Index in a Site Area: Improving the BP Neural Network Model Based on a Genetic Algorithm
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Urban Planning and Development
dc.identifier.doi10.1061/JUPDDM.UPENG-6003
dc.journal.fristpage04026030-1
dc.journal.lastpage04026030-15
dc.page15
dc.treeJournal of Urban Planning and Development:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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