Land subsidence prediction in coal mining using machine learning models and optimization techniques
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-33300-2.pdf
Reference69 articles.
1. Artusi R, Verderio P, Marubini E (2002) Bravais-Pearson and Spearman correlation coefficients: meaning, test of hypothesis and confidence interval. Int J Biol Markers 17:148–151. https://doi.org/10.5301/JBM.2008.2127
2. Barbato J, Hebblewhite B, Mitra R, Mills K (2016) Prediction of horizontal movement and strain at the surface due to longwall coal mining. Int J Rock Mech Min Sci 84:105–118. https://doi.org/10.1016/j.ijrmms.2016.02.006
3. Behnia D, Behnia M, Shahriar K, Goshtasbi K (2017) Symposium of the International Society for Rock Mechanics a new predictive model for rock strength parameters utilizing GEP method. Procedia Eng 191:591–599. https://doi.org/10.1016/j.proeng.2017.05.222
4. Chai T, Draxler RR (2014) Root mean square error (RMSE) or mean absolute error (MAE)? -Arguments against avoiding RMSE in the literature. Geosci Model Dev 7:1247–1250. https://doi.org/10.5194/gmd-7-1247-2014
5. Darling P (ed) (2011) SME mining engineering handbook (Vol 1) SME
Cited by 4 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. Development and Comparison of InSAR-Based Land Subsidence Prediction Models;Remote Sensing;2024-09-09
2. Research on Spatiotemporal Continuous Information Perception of Overburden Compression–Tensile Strain Transition Zone during Mining and Integrated Safety Guarantee System;Sensors;2024-09-09
3. Method of Predicting Dynamic Deformation of Mining Areas Based on Synthetic Aperture Radar Interferometry (InSAR) Time Series Boltzmann Function;Applied Sciences;2024-09-05
4. Prediction of Surface Subsidence in Mining Areas Based on Ascending-Descending Orbits Small Baseline Subset InSAR and Neural Network Optimization Models;Sensors;2024-07-23
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