A Novel Intelligent Decision-Making Method of Shearer Drum Height Regulating Based on Neighborhood Rough Reduction and Selective Ensemble Learning

A Novel Intelligent Decision-Making Method of Shearer Drum Height Regulating Based on Neighborhood Rough Reduction and Selective Ensemble Learning

An intelligent shearer drum height regulating method is the key technology for mining at an unmanned coalface. In this study, a novel intelligent decision-making method of shearer drum height regulating is proposed, which makes a decision by selective ensemble the Kernel Extreme Learning Machine (KE...

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Bibliographic Details
Main Authors: Zhengxiong Lu, Wei Guo, Chuanwei Zhang, Shuanfeng Zhao, Yuan Wang, Wugang Zhang, Manzhi Yang, Shuaitian Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Shearer
machine learning
classifier selective ensemble
neighborhood rough set
KELM
drum lifting prediction
Online Access:https://ieeexplore.ieee.org/document/9311257/

Internet

https://ieeexplore.ieee.org/document/9311257/

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