Illumination of parameter contributions on uneven break phenomenon in underground stoping mines-Reference-Cited by-同舟云学术

Illumination of parameter contributions on uneven break phenomenon in underground stoping mines

Published:2016-11 Issue:6 Volume:26 Page:1095-1100
ISSN:2095-2686
Container-title:International Journal of Mining Science and Technology
language:en
Short-container-title:International Journal of Mining Science and Technology

Author:

Jang Hyongdoo,Topal Erkan,Kawamura Youhei

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology

Reference19 articles.

1. Quantifying the cost of dilution in underground mines;Pakalnis;Int J Rock Mech Min Sci Geomech Abstracts,1996

2. Pakalnis RCT, Hughes PB. Sublevel stoping. SME mining engineering handbook. United States of America: Society for Mining, Metallurgy, and Exploration; 2011.

3. Decision support system of unplanned dilution and ore-loss in underground stoping operations using a neuro-fuzzy system;Jang;Appl Soft Comput,2015

4. Influence of stope geometry and blasting patterns on recorded overbreak;Germain;Int J Rock Mech Min Sci,1997

5. Engineering classification of rock masses for the design of tunnel support;Barton;Rock Mech Rock Eng,1974

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Underground stope dilution optimization applying machine learning;Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering;2024

2. Prediction of dilution in sublevel stoping through machine learning algorithms;IOP Conference Series: Earth and Environmental Science;2023-05-01

3. Unplanned dilution prediction in open stope mining: developing new design charts using Artificial Neural Network classifier;Journal of Sustainable Mining;2022-08-14

4. A review of machine learning applications for underground mine planning and scheduling;Resources Policy;2022-08

5. Grid Search Optimised Artificial Neural Network for Open Stope Stability Prediction;International Journal of Mining, Reclamation and Environment;2021-04-11