Time series prediction model using LSTM-Transformer neural network for mine water inflow

Abstract Mine flooding accidents have occurred frequently in recent years, and the predicting of mine water inflow is one of the most crucial flood warning indicators. Further, the mine water inflow is characterized by non-linearity and instability, making it difficult to predict. Accordingly, we pr...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Junwei Shi, Shiqi Wang, Pengfei Qu, Jianli Shao
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Subjects:
Mine water inflow
LSTM-Transformer model
Time series prediction
Long short-term memory
Self-attention mechanism
Online Access:https://doi.org/10.1038/s41598-024-69418-z

Internet

https://doi.org/10.1038/s41598-024-69418-z

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