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Mechanical parameter inversion in tunnel engineering using support vector regression optimized by multi-strategy artificial fish swarm algorithm
Zhuang, D. Y.; Ma, K.; Tang, C. A.; Liang, Z. Z.; Wang, K. K.; Wang, Z. W.
刊名TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
2019
卷号83页码:425-436
关键词Displacement back-analysis Support vector regression Artificial fish swarm algorithm Orthogonal test Mechanical parameter inversion
ISSN号0886-7798
URL标识查看原文
WOS记录号[DB:DC_IDENTIFIER_WOSID]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3220219
专题大连理工大学
作者单位1.Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Liaoning, Peoples R China.,Dalian Univ Technol, Inst Rock Instabil & Seism Res, Dalian 116024, Liaoning, Peoples R China.
2.China Coal Res Inst, Mine Safety Technol Branch, Beijing 100013, Peoples R China.
推荐引用方式
GB/T 7714
Zhuang, D. Y.,Ma, K.,Tang, C. A.,et al. Mechanical parameter inversion in tunnel engineering using support vector regression optimized by multi-strategy artificial fish swarm algorithm[J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,2019,83:425-436.
APA Zhuang, D. Y.,Ma, K.,Tang, C. A.,Liang, Z. Z.,Wang, K. K.,&Wang, Z. W..(2019).Mechanical parameter inversion in tunnel engineering using support vector regression optimized by multi-strategy artificial fish swarm algorithm.TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,83,425-436.
MLA Zhuang, D. Y.,et al."Mechanical parameter inversion in tunnel engineering using support vector regression optimized by multi-strategy artificial fish swarm algorithm".TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 83(2019):425-436.
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