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Multi-Modal Data-Driven Bayesian-Optimized CNN-LSTM Model for Slope Displacement Prediction.

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第一作者： Xingwang,Zhao

第一单位： Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China.;State Key Laboratory for Safe Mining of Deep Coal Resources and Environment Protection, Anhui University of Science and Technology, Huainan 232001, China.;School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China.

作者： Xingwang,Zhao ^[1] ; Xinlong,Wan ^[2] ; Jian,Chen ^[2] ; Chao,Liu ^[2] ; Chao,Chen ^[2]

作者单位： Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China.;State Key Laboratory for Safe Mining of Deep Coal Resources and Environment Protection, Anhui University of Science and Technology, Huainan 232001, China.;School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China. ^[1] Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China.;School of Spatial Information and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China. ^[2]

关键词 Bayesian optimization algorithm CNN LSTM multi-modal data slope displacement

DOI 10.3390/s26051452

PMID 41829414

发布时间 2026-03-16

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