A comparative study of prediction methods for semi-autogenous grinding mill throughput
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering
Reference35 articles.
1. Tensorflow: a system for large-scale machine learning;Abadi,2016
2. Aggarwal, C.C., Neural networks and deep learning. Springer, 2018, 10(978), 3.
3. A novel approach to the geometallurgical modelling of the Collahuasi grinding circuit;Alruiz;Miner. Eng.,2009
4. Crushing and grinding calculations;Bond;Part i. Br. Chem. Eng.,1961
5. Applied Machine Learning for Geometallurgical Throughput Prediction—A Case Study Using Production Data at the Tropicana Gold Mining Complex;Both;Minerals,2021
Cited by 6 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. Prediction of particle size distribution of grinding products using artificial neural network approach;Minerals Engineering;2024-09
2. Developing deep learning surrogate models for digital twins in mineral processing – A case study on data-driven multivariate multistep forecasting;Minerals Engineering;2024-09
3. An integrated intelligent framework for maximising SAG mill throughput: Incorporating expert knowledge, machine learning and evolutionary algorithms for parameter optimisation;Minerals Engineering;2024-07
4. Multivariable predictive models for the estimation of power consumption (kW) of a Semi-autogenous mill applying Machine Learning algorithms [Modelos predictivos multivariables para la estimación de consumo de potencia (kW) de un molino Semi - autógeno aplicando algoritmos de Machine Learning];Journal of Energy & Environmental Sciences;2024-03-10
5. Maximum Likelihood Estimation for an SAG Mill Model Utilizing Physical Available Measurements;IEEE Access;2024
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