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RBF网络在硫化矿浮选过程建模中的应用研究
Study on Application of RBF Network to Sulphide Ore Flotation Process Modeling
【Author】 Zhou Junwu Sun Chuanyao (Beijing General Research Institute of Mining & Metallurgy, Beijing 100044)
【机构】 北京矿冶研究总院信息技术与自动化研究设计所; 北京矿冶研究总院;
【摘要】 针对西林铅锌矿的工业生产流程开发了“西林铅锌矿浮选过程智能咨询系统”和“西林锌辟矿浮选技术指标智能预测系统”。咨询系统提供的药剂制度能够稳定浮选过程,提高作业回收率,具有一定的实用价值,可用于为浮选操作人员就地提供技术咨询和新员工的培训。预测系统的预测精度较高,具有一定的实用价值。该系统的成功开发为工业浮选过程的优化控制奠定了基础。
【Abstract】 Models of the "Intelligent Consultation System for Flotation Process of Xilin Lead & Zinc Mine" and the "Intelligent Prediction System for Flotation Technical Indexes of Xilin Lead & Zinc Mine" have been developed for the industrial production flow of Xilin lead & Zinc Mine. Reagent dosage made out by the consultation system can stabilize flotation process, increase recoveries and possess a certain use value. The system can be used to supply technical consultation for the flotation operators on site and training for new operators. With a high accuracy of prediction, the prediction system has a certain use value. The successful development of the systems has laid the foundation for the optimizing control of industrial flotation process.
【Key words】 Flotation process radial basis function RBF network the nearest neighbor - clustering algorithm consultation pre-diction;
- 【会议录名称】 首届全国有色金属自动化技术与应用学术年会论文集
- 【会议名称】首届全国有色金属自动化技术与应用学术年会
- 【会议时间】2003-11
- 【会议地点】中国南昌
- 【分类号】TD923
- 【主办单位】中国有色金属学会