Performance of Hybrid SCA-RF and HHO-RF Models for Predicting Backbreak in Open-Pit Mine Blasting Operations
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s11053-021-09929-y.pdf
Reference93 articles.
1. Armaghani, D. J., Hasanipanah, M., Amnieh, H., Bui, D., Mehrabi, P., & Khorami, M. (2020). Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm. Engineering with Computers, 36(4), 1379–1391.
2. Armaghani, D. J., Momeni, E., Abad, S. V. A. N. K., & Khandelwal, M. (2015). Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting. Environmental Earth Sciences, 74(4), 2845–2860.
3. Berta, G. (1990). Explosives: An engineering tool. Italesplosivi.
4. Bhagade, N. V., Murthy, V. M. S. R., & Ali, M. S. (2021a). Enhancing rock fragmentation in dragline bench blasts using near-field ground vibration dynamics and advanced blast design. Powder Technology, 381, 421–439.
5. Bhagade, N. V., Murthy, V. M. S. R., & Budi, G. (2021). Measurement and control of seismic effects in large scale dragline bench blasts—An approach. Measurement, 168, 108390.
Cited by 39 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. A comprehensive survey on machine learning applications for drilling and blasting in surface mining;Machine Learning with Applications;2024-03
2. An AI-powered approach to improving tunnel blast performance considering geological conditions;Tunnelling and Underground Space Technology;2024-02
3. Fragmentation by blasting size prediction using SVR-GOA and SVR-KHA techniques;Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering;2024
4. State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting;Artificial Intelligence Review;2024-01
5. Knowledge mapping of research progress in blast-induced ground vibration from 1990 to 2022 using CiteSpace-based scientometric analysis;Environmental Science and Pollution Research;2023-09-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3