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现代矿业 ›› 2019, Vol. 35 ›› Issue (08): 123-126.

• 矿物加工工程 • 上一篇    下一篇

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   

  1. 北京矿冶科技集团有限公司
  • 出版日期:2019-08-25 发布日期:2019-09-29

Application of Neural Network Technology in Mineral Processing Industry

Li Chao,Shang Yanbo,Zhu Yangge,Luo Kehua,Yang Guang   

  1. Beijing General Research Institute of Mining and Metallurgy Co.Ltd.
  • Online:2019-08-25 Published:2019-09-29

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

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.

Key words: Neural network, Grinding, Mineral processing index, Forecast