Research on the Parameter Prediction Model for Fully Mechanized Mining Equipment Selection Based on RF-WOA-XGBoost

Research on the Parameter Prediction Model for Fully Mechanized Mining Equipment Selection Based on RF-WOA-XGBoost

Fully mechanized mining equipment is core to the coal mining process. The selection process for this type of equipment is complex and heavily relies on experts’ experience for determining equipment parameters. This paper proposes a fully mechanized mining equipment parameter prediction model based o...

Full description

Saved in:
Bibliographic Details
Main Authors: Yue Wu, Wenlong Sang, Xiangang Cao, Longlong He
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
fully mechanized mining face
three machines selection
machine learning
feature selection
parameter prediction model
Online Access:https://www.mdpi.com/2076-3417/15/2/732
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/15/2/732

Similar Items