A Predicting Model for Near-Horizontal Directional Drilling Path Based on BP Neural Network in Underground Coal Mine

This study establishes a prediction model based on the back propagation (BP) neural network for controlling the underground directional drilling path in a coal mine. The four-layer BP neural network model chooses 11 trajectory parameters (dip angles and azimuths from 12 m after the measurement while...

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Veröffentlicht in:	Journal of advanced computational intelligence and intelligent informatics 2022-05, Vol.26 (3), p.279-288
Hauptverfasser:	Wei, Hongchao, Yao, Ningping, Tian, Hongliang, Yao, Yafeng, Zhang, Jinbao, Li, Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Azimuth Back propagation networks Coal mines Coal mining Drilling Mathematical models Neural networks Normal distribution Parameters Prediction models Predictions Underground mines
Online-Zugang:	Volltext
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