Prediction of rockburst intensity grade in deep underground excavation using adaptive boosting classifier
Rockburst phenomenon is the primary cause of many fatalities and accidents during deep underground projects constructions. As a result, its prediction at the early design stages plays a significant role in improving safety.(e article describes a newly developed model to predict rockburst intensity...
Saved in:
Main Authors: | Ahmad, Mahmood, Katman, HerdaYati, Al-Mansob, Ramez, Ahmad, Feezan, Safdar, Muhammad, Alguno, Arnold C. |
---|---|
Format: | Article |
Language: | English English |
Published: |
Wiley-Hindawi
2022
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/97808/1/97808_Prediction%20of%20rockburst%20intensity.pdf http://irep.iium.edu.my/97808/7/97808_Prediction%20of%20rockburst%20intensity%20grade_SCOPUS.pdf http://irep.iium.edu.my/97808/ https://downloads.hindawi.com/journals/complexity/2022/6156210.pdf https://doi.org/10.1155/2022/6156210 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier
by: Ahmad M., et al.
Published: (2023) -
Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques
by: Wang, Shi-ming, et al.
Published: (2021) -
CHARACTERIZING SURFACE GROUND SETTLEMENT INDUCED BY UNDERGROUND TUNNEL EXCAVATION
by: Mohd Yusuf, Muhammad Firdaus
Published: (2016) -
Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques
by: Shi-ming, Wang, et al.
Published: (2021) -
Extreme Gradient Boosting Algorithm for Predicting Shear
Strengths of Rockfill Materials
by: Ahmad, Mahmood, et al.
Published: (2022)