Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model

Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model

Abstract Mine water influx is a significant geological hazard during mine development, influenced by various factors such as geological conditions, hydrology, climate, and mining techniques. This phenomenon is characterized by non-linearity and high complexity, leading to frequent water accidents in...

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Bibliographic Details
Main Authors: Xiaoyu Gong, Bo Li, Yu Yang, MengHua Li, Tao Li, Beibei Zhang, Lulin Zheng, Hongfei Duan, Pu Liu, Xin Hu, Xin Xiang, Xinju Zhou
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Mine influx prediction
BP neural network
Autoregressive Integrated moving average model
Large well method
GM(1,1) grey model
Online Access:https://doi.org/10.1038/s41598-025-85477-2
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https://doi.org/10.1038/s41598-025-85477-2

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