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Icing Prediction Model of Asphalt Pavement in Cold Regions Based on an Improved BP Neural Network

dc.contributor.authorLi, Yao
dc.contributor.authorWang, Junxin
dc.contributor.authorWang, Kai
dc.contributor.authorLiu, Han
dc.contributor.authorYang, Enhui
dc.date.accessioned2026-08-20T11:31:17Z
dc.date.available2026-08-20T11:31:17Z
dc.date.copyright2025/08/07
dc.date.issued2025
dc.identifier.otherJMCEE7.MTENG-20512.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312317
dc.description.abstractAbstractTo better understand the factors influencing asphalt pavement icing and its impact trends, a research approach combining indoor experiments, field meteorological factor investigations, and statistical analysis was adopted. An indoor simulation ...
dc.publisherAmerican Society of Civil Engineers
dc.titleIcing Prediction Model of Asphalt Pavement in Cold Regions Based on an Improved BP Neural Network
dc.typeJournal Article
dc.journal.volume37
dc.journal.issue10
dc.journal.titleJournal of Materials in Civil Engineering
dc.identifier.doi10.1061/JMCEE7.MTENG-20512
dc.journal.fristpage04025362-1
dc.journal.lastpage04025362-14
dc.page14
dc.treeJournal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 010
dc.contenttypeFulltext


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