Prediction Model for Time-varying Safety Factor for Gravity Dam Stability Based on CNN-BiLSTM-Attention

Under complex working conditions such as high water pressure and high seepage pressure, accurately grasping the time-varying law of the safety factor of gravity dams and effectively predicting it are crucial for the scientific control of the dam's operation status. To this end, a coupled prediction...

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Bibliografische Detailangaben

Hauptverfasser:	CAO Yuxin, ZHANG Han, YIN Jinchao, LI Yanan
Format:	Artigo
Sprache:	Chinês
Veröffentlicht:	Editorial Office of Pearl River 2025-01-01
Schriftenreihe:	Renmin Zhujiang
Schlagworte:	CNN-BiLSTM-Attention gravity dam early warning indicator prediction model
Online-Zugang:	http://www.renminzhujiang.cn/thesisDetails?columnId=82667249&Fpath=home&index=0
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