A novel stacking-based ensemble learning model for drilling efficiency prediction in earth-rock excavation
Author:
Publisher
Zhejiang University Press
Subject
General Engineering
Link
https://link.springer.com/content/pdf/10.1631/2023.A2200297.pdf
Reference48 articles.
1. Abbas AK, Rushdi S, Alsaba M, et al., 2019. Drilling rate of penetration prediction of high-angled wells using artificial neural networks. Journal of Energy Resources Technology, 141(11):112904. https://doi.org/10.1115/1.4043699
2. Abbaspour H, Drebenstedt C, Badroddin M, et al., 2018. Optimized design of drilling and blasting operations in open pit mines under technical and economic uncertainties by system dynamic modelling. International Journal of Mining Science and Technology, 28(6):839–848. https://doi.org/10.1016/j.ijmst.2018.06.009
3. Abu Bakar MZ, Butt IA, Majeed Y, 2018. Penetration rate and specific energy prediction of rotary-percussive drills using drill cuttings and engineering properties of selected rock units. Journal of Mining Science, 54(2):270–284. https://doi.org/10.1134/S106273911802363X
4. Akün ME, Karpuz C, 2005. Drillability studies of surface-set diamond drilling in Zonguldak region sandstones from Turkey. International Journal of Rock Mechanics and Mining Sciences, 42(3):473–479. https://doi.org/10.1016/j.ijrmms.2004.11.009
5. Breiman L, 2001. Random forests. Machine Learning, 45(1): 5–32. https://doi.org/10.1023/A:1010933404324
Cited by 1 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. 一种数据驱动隧道掘进机推力的建模与预测方法;Journal of Zhejiang University-SCIENCE A;2023-09
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