Capture and Prediction of Rainfall-Induced Landslide Warning Signals Using an Attention-Based Temporal Convolutional Neural Network and Entropy Weight Methods

The capture and prediction of rainfall-induced landslide warning signals is the premise for the implementation of landslide warning measures. An attention-fusion entropy weight method (En-Attn) for capturing warning features is proposed. An attention-based temporal convolutional neural network (ATCN...

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Detalles Bibliográficos
Autores principales: Zhang, Di, Wei, Kai, Yao, Yi, Yang, Jiacheng, Zheng, Guolong, Li, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415138/
https://www.ncbi.nlm.nih.gov/pubmed/36015997
http://dx.doi.org/10.3390/s22166240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415138/
https://www.ncbi.nlm.nih.gov/pubmed/36015997
http://dx.doi.org/10.3390/s22166240

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