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神经网络技术在选矿行业的应用研究
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, 35(8): 123-126
作者姓名:李超  尚衍波  朱阳戈  罗科华  阳光
作者单位:北京矿冶科技集团有限公司
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。

关 键 词:神经网络  磨矿  选矿指标  预测  

Application of Neural Network Technology in Mineral Processing Industry
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, 35(8): 123-126
Authors:LI Chao  SHANG Yan-Bo  ZHU Yang-Ge  LUO Ke-Hua  YANG Guang
Affiliation:Beijing General Research Institute of Mining and Metallurgy Co.Ltd.
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.
Keywords:Neural network  Grinding  Mineral processing index  Forecast  
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