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","thumbnailUrl":"1673-0291-2025-49-2-95/thumbnail/949D4A46-DB09-4754-8E18-3684337D472D-F009.jpg"},{"captionCn":"注意力机制得分矩阵 ","magId":"97ca5d29-c956-466d-9e2d-ebafcaca5a28","labelCn":"图10","pptUrl":"1673-0291-2025-49-2-95/949D4A46-DB09-4754-8E18-3684337D472D-F010.jpg.ppt","labelEn":"Fig.10","figUrl":"1673-0291-2025-49-2-95/949D4A46-DB09-4754-8E18-3684337D472D-F010.jpg","titleEn":"Fig.10 Attention mechanism score matrix","titleCn":"图10 注意力机制得分矩阵","id":"F10","captionEn":"Attention mechanism score matrix ","thumbnailUrl":"1673-0291-2025-49-2-95/thumbnail/949D4A46-DB09-4754-8E18-3684337D472D-F010.jpg"}],"fundList_en":["National Natural Science Foundation of China(51978018)"],"authorNotes_cn":["葛辰贺（1992一），男，河北保定人，博士. email：2996845330@qq.com."]}; if(window.metaData && (!window.metaData.authorNotesCommon_cn && !window.metaData.authorNotesCorresp_cn && window.metaData.authorNotes_cn)){ window.metaData.authorNotesCommon_cn = window.metaData.authorNotes_cn; } if(window.metaData && 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基于融合注意力机制BP神经网络的深基坑变形预测方法

张明聚, 秦胜旺, 李鹏飞, 葛辰贺, 杨萌, 谢治天

PDF(3169 KB)
PDF(3169 KB)
星空电竞app2026最新版学报 ›› 2025, Vol. 49 ›› Issue (2) : 95-104. DOI: 10.11860/j.issn.1673-0291.20240044
隧道与铁道工程

基于融合注意力机制BP神经网络的深基坑变形预测方法

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Deep excavation deformation prediction method based on BP Neural Network with integrated attention mechanism

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Received Revised Published
2024-05-09 2024-12-17 2025-04-25
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2025-06-13  

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{{article.zuoZheCn_L}}. {{article.title_cn}}. {{journal.qiKanMingCheng_CN}}. 2025, 49(2): 95-104 https://doi.org/10.11860/j.issn.1673-0291.20240044
{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2025, 49(2): 95-104 https://doi.org/10.11860/j.issn.1673-0291.20240044

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