Deep neural network and whale optimization algorithm to assess flyrock induced by blasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modelling and Simulation,Software
Link
http://link.springer.com/content/pdf/10.1007/s00366-019-00816-y.pdf
Reference98 articles.
1. Bhandari S (1997) Engineering rock blasting operations. A A Balkema, Rotterdam, p 388
2. Singh TN, Singh V (2005) An intelligent approach to prediction and control ground vibration in mines. Geotech Geol Eng 23:249–262
3. Jahed Armaghani D, Hajihassani M, Marto A et al (2015) Prediction of blast-induced air overpressure: a hybrid AI-based predictive model. Environ Monit Assess. https://doi.org/10.1007/s10661-015-4895-6
4. Koopialipoor M, Fallah A, Armaghani DJ et al (2018) Three hybrid intelligent models in estimating flyrock distance resulting from blasting. Eng Comput. https://doi.org/10.1007/s00366-018-0596-4
5. Rad HN, Hasanipanah M, Rezaei M, Eghlim AL (2018) Developing a least squares support vector machine for estimating the blast-induced flyrock. Eng Comput 34:709–717
Cited by 127 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. Fundus image segmentation based on random collision whale optimization algorithm;Journal of Computational Science;2024-08
2. Onboard generation of reentry trajectory for RLV via regularized extreme learning machine and marine predator whale optimizer;Advances in Space Research;2024-07
3. 28-day compressive strength prediction utilizing a radial basis function model incorporating meta-heuristic algorithms;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-05-29
4. A Deep Learning Approach for Chromium Detection and Characterization from Soil Hyperspectral Data;Toxics;2024-05-11
5. Prediction of the mean fragment size in mine blasting operations by deep learning and grey wolf optimization algorithm;Earth Science Informatics;2024-05-07
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