Optimization of Rockburst Grade Prediction Model Based on Multidimensional Feature Selection: Integrated Learning and Index System Correlation Analysis

Optimization of Rockburst Grade Prediction Model Based on Multidimensional Feature Selection: Integrated Learning and Index System Correlation Analysis

Rockburst is a major disaster in deep underground engineering, and its prediction is crucial for engineering safety. This study proposes an optimization method based on multidimensional feature selection and integrated learning that systematically evaluates the impact of different indicator dimensio...

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Bibliographic Details
Main Authors: Jiayang Chen, Xuebin Xie
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
rockburst prediction
feature selection
machine learning
indicator system
Optuna optimization
Online Access:https://www.mdpi.com/2076-3417/15/12/6466
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