Research on Rockburst Prediction Classification Based on GA-XGB Model
Rockburst is a typical engineering geological disaster under the condition of high geostress. The rockburst classification and prediction are of great significance for the prevention and control of engineering geological disasters under the high geostress environment, and can reduce or even avoid th...
Guardado en:
Autores principales: | Xuebin Xie, Wei Jiang, Jiang Guo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/547e3c47bf4346a798d4065be2ebd7f8 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
An Intelligent Rockburst Prediction Model Based on Scorecard Methodology
por: Honglei Wang, et al.
Publicado: (2021) -
Rockburst Interpretation by a Data-Driven Approach: A Comparative Study
por: Yuantian Sun, et al.
Publicado: (2021) -
Rockburst Precursors and the Dynamic Failure Mechanism of the Deep Tunnel: A Review
por: Yulong Chen, et al.
Publicado: (2021) -
An Attempt to Use Machine Learning Algorithms to Estimate the Rockburst Hazard in Underground Excavations of Hard Coal Mine
por: Łukasz Wojtecki, et al.
Publicado: (2021) -
Reverse Leakage Analysis for As-Grown and Regrown Vertical GaN-on-GaN Schottky Barrier Diodes
por: Kai Fu, et al.
Publicado: (2020)