Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Use of Temporal Convolutional Network with an Attention Mechanism and a Bidirectional Gated Recurrent Unit to Capture and Predict Slope Debris Flow Risk
A novel approach for predicting slope debris flow risk is proposed to address the issue of single-factor data modeling in current slope debris flow risk prediction. The DA-TCN-BiGRU approach combines the dual attention mechanism, temporal convolutional network, and bidirectional gated recurrent unit. Based on the slope debris flow simulation platform, rainfall, soil shear wave velocity, surface displacement, soil pressure and soil moisture data are collected. The data warning features of debris flow risk are captured using the TOSIS entropy method, and the risk level of the slope debris flow is represented based on this. Compared to similar models, this model achieves better slope debris flow risk prediction results.
Use of Temporal Convolutional Network with an Attention Mechanism and a Bidirectional Gated Recurrent Unit to Capture and Predict Slope Debris Flow Risk
A novel approach for predicting slope debris flow risk is proposed to address the issue of single-factor data modeling in current slope debris flow risk prediction. The DA-TCN-BiGRU approach combines the dual attention mechanism, temporal convolutional network, and bidirectional gated recurrent unit. Based on the slope debris flow simulation platform, rainfall, soil shear wave velocity, surface displacement, soil pressure and soil moisture data are collected. The data warning features of debris flow risk are captured using the TOSIS entropy method, and the risk level of the slope debris flow is represented based on this. Compared to similar models, this model achieves better slope debris flow risk prediction results.
Use of Temporal Convolutional Network with an Attention Mechanism and a Bidirectional Gated Recurrent Unit to Capture and Predict Slope Debris Flow Risk
Lecture Notes in Civil Engineering
Feng, Guangliang (Herausgeber:in) / Wei, Kai (Autor:in) / Li, Qing (Autor:in) / Yao, Yi (Autor:in) / Sun, Yeqing (Autor:in)
International Conference on Civil Engineering ; 2023 ; Nanchang, China
Proceedings of the 10th International Conference on Civil Engineering ; Kapitel: 6 ; 55-67
20.07.2024
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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