首页  刊物介绍  理事会  编委会  投稿须知  广告合作 杂志订阅 中国矿业114网  留言板 联系我们
现代矿业 2019, Vol. 35 Issue (08) :123-126    DOI:
矿物加工工程 最新目录 | 下期目录 | 过刊浏览 | 高级检索 << Previous Articles | Next Articles >>
神经网络技术在选矿行业的应用研究
李超,尚衍波,朱阳戈,罗科华,阳光*
北京矿冶科技集团有限公司
Application of Neural Network Technology in Mineral Processing Industry
Li Chao,Shang Yanbo,Zhu Yangge,Luo Kehua,Yang Guang*
Beijing General Research Institute of Mining and Metallurgy Co.Ltd.

摘要
参考文献
相关文章
Download: PDF (0KB)   HTML 1KB   Export: BibTeX or EndNote (RIS)      Supporting Info
摘要 神经网络技术是一门新兴的数据挖掘方法,具有多目标、强拟合、自适应等多种优势。选矿过程包含的流程长、步骤多,涉及的物理化学过程复杂,难以建立精确的数学模型。目前,将神经网络技术应用于选矿各工艺步骤方面已取得了一些研究成果。今后神经网络技术将在选矿过程自动化、选矿设备故障诊断专家系统开发、药剂和选矿效果间的关系研究等领域具有十分广阔的应用前景。
Service
把本文推荐给朋友
加入我的书架
加入引用管理器
Email Alert
RSS
作者相关文章
李超
尚衍波
朱阳戈
罗科华
阳光
关键词神经网络   磨矿   选矿指标   预测     
Abstract: Neural network technology is a new data mining method,which has many advantages such as multi-objective,strong fitting,self-adaptation and so on.The mineral processing process involves a long process and many steps,and involves complex physical and chemical processes.It is difficult to establish an accurate mathematical model.At present,the application of neural network technology in various technological steps of mineral processing has achieved some research results.In the future,there will be wide application prospects in the fields of automation of mineral processing,research on fault diagnosis expert system for mineral processing equipment,and the relationship between reagents and mineral processing effect.
KeywordsNeural network   Grinding   Mineral processing index   Forecast     
引用本文:   
李超, 尚衍波, 朱阳戈, 罗科华, 阳光.神经网络技术在选矿行业的应用研究[J]  现代矿业, 2019,V35(08): 123-126
LI Chao, SHANG Yan-Bo, ZHU Yang-Ge, LUO Ke-Hua, YANG Guang.Application of Neural Network Technology in Mineral Processing Industry[J]  Modern Mining, 2019,V35(08): 123-126
链接本文:  
http://118.145.15.232/Jweb_xdky//CN/      或     http://118.145.15.232/Jweb_xdky//CN/Y2019/V35/I08/123
Copyright 2010 by 现代矿业