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contributor authorDing, Ya-Jie
contributor authorWang, Zuo-Cai
contributor authorWang, Ye
contributor authorXin, Yu
contributor authorSun, Pei
date accessioned2026-08-20T21:21:59Z
date available2026-08-20T21:21:59Z
date copyright2026/03/12
date issued2026
identifier otherJBENF2.BEENG-7971.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314346
description abstractAbstract This paper proposes a hybrid neural network employing an attention mechanism (AM) strategy in nonlinear parameter identification for updating structural models based on dynamic response data, which integrates the characteristics of both a ...
publisherAmerican Society of Civil Engineers
titleCNN-BiLSTM Hybrid Neural Network with Attention Mechanism for Structural Nonlinear Model Updating
typeJournal Article
journal volume31
journal issue5
journal titleJournal of Bridge Engineering
identifier doi10.1061/JBENF2.BEENG-7971
journal fristpage04026019-1
journal lastpage04026019-18
page18
treeJournal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 005
contenttypeFulltext


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