| Intelligent control of the grinding and classificationsystem based on fuzzy RBF neural network |
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| 作者姓名： | WANG Yun feng LI Zhan ming YUAN Zhan ting and WAN Wei han |
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| 作者单位： | College of Electrical and Information Engineering, Lanzhou University of Technology,Lanzhou 730050, Gansu, P.R. China; College of Computer Science Institute, Gansu Political Science and Law Institute, Lanzhou 730070, Gansu, P.R. China;;College of Electrical and Information Engineering, Lanzhou University of Technology,Lanzhou 730050, Gansu, P.R. China;;College of Electrical and Information Engineering, Lanzhou University of Technology,Lanzhou 730050, Gansu, P.R. China;;Jinchuan Group Ltd . Automation Engineering Ltd, Jinchang 737104, Gansu, P.R. China |
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| 摘 要： | Based on RBF neural network and fuzzy theory, an intelligent control method, which can effectively overcome disturbance resulting from grinding efficiency and cyclone’s inlet pressure, is proposed. This method that can make grinding concentration and overflow particle size well proportioned will allow us to improve flotation grade and increase yield, and therefore realize the optimization of grinding and classification process. The present method is of simple analysis, less time of network learning and training. And high learning precision is high. The simulations show that our approach can also be applied to the control systems that are difficult to build accurate math model.
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| 关 键 词： | RBF neural network fuzzy theory grinding classification system intelligent control optimization |
| 收稿时间： | 2009-11-18 |
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