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dc.contributor.authorKang, Jianguo
dc.contributor.authorYu, Ziwang
dc.contributor.authorZhang, Yanjun
dc.contributor.authorYang, Tianrui
dc.contributor.authorYe, Xiaoqi
dc.contributor.authorGuo, Liangliang
dc.contributor.authorTian, Fujin
dc.date.accessioned2026-08-20T21:11:30Z
dc.date.available2026-08-20T21:11:30Z
dc.date.copyright2025/07/11
dc.date.issued2025
dc.identifier.otherIJGNAI.GMENG-8184.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314088
dc.description.abstractAbstract The soil bearing capacity in Nanchang (China) was measured by in situ and laboratory tests, and 141 data points were obtained. Theoretical and correlation analyses were conducted to determine the relationship between the soil’s bearing capacity ...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Neural Network with a PSO-ELM Hybrid Optimization Algorithm: Applications to Analysis of Soil Bearing Capacity
dc.typeJournal Article
dc.journal.volume25
dc.journal.issue9
dc.journal.titleInternational Journal of Geomechanics
dc.identifier.doi10.1061/IJGNAI.GMENG-8184
dc.journal.fristpage04025200-1
dc.journal.lastpage04025200-12
dc.page12
dc.treeInternational Journal of Geomechanics:;2025:;Volume ( 025 ):;issue: 009
dc.contenttypeFulltext


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