Forecasting the Friction Factor of a Mine Airway Using an Improvement Stacking Ensemble Learning Approach

Forecasting the Friction Factor of a Mine Airway Using an Improvement Stacking Ensemble Learning Approach

The prediction of frictional air resistance using the inherent properties of roadways is of great significance for ventilation network computation and flow regulation in underground mines. This study proposes an improved stacked learning and error correction-based prediction model for the frictional...

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Bibliographic Details
Main Authors: Zhipeng Qi, Ke Gao, Dariusz Obracaj, Yujiao Liu, Keyi Yuan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Mine airways
frictional air resistance coefficient
improved stacking model
cross-validation
prediction accuracy
Online Access:https://ieeexplore.ieee.org/document/10433509/

Internet

https://ieeexplore.ieee.org/document/10433509/

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