A Tailings Dam Long-Term Deformation Prediction Method Based on Empirical Mode Decomposition and LSTM Model Combined with Attention Mechanism

A Tailings Dam Long-Term Deformation Prediction Method Based on Empirical Mode Decomposition and LSTM Model Combined with Attention Mechanism

Tailings dams are constructed as storage dams for ore waste, serving as industrial waste piles and for drainage. The dam is negatively affected by rainfall, infiltration lines and its own gravity, which can cause its instability to gradually increase, leading to dam deformation. To predict the irreg...

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Bibliographic Details
Main Authors: Yang Zhu, Yijun Gao, Zhenhao Wang, Guansen Cao, Renjie Wang, Song Lu, Wei Li, Wen Nie, Zhongrong Zhang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Water
Subjects:
LSTM network
attention mechanism
tailings dam deformation
empirical mode decomposition
lag order
Online Access:https://www.mdpi.com/2073-4441/14/8/1229

Internet

https://www.mdpi.com/2073-4441/14/8/1229

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