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| The Research of Automatic Reagent Feeding System Based on ELM |
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Received:June 16, 2016
Revised:June 21, 2016
Accepted:June 22, 2016
Published Online:April 06, 2017
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| DOI： |
| KeyWord:ELM; neural network;automatic dosing system |
| Author | Institution |
| Zhang MeiYi |
Guangxi Research Institute of Medallurgy Company,Guangxi Nanning |
| LiaoChengYe |
Guangxi Research Institute of Medallurgy Company,Guangxi Nanning |
| LiJue |
Guangxi Research Institute of Medallurgy Company,Guangxi Nanning |
| FuLiHao |
Guangxi Research Institute of Medallurgy Company,Guangxi Nanning |
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| Abstract: |
| In the mineral processing industry, the most important factor affecting the quality of mineral production is dosing process. There are two primary ways in traditional floatation dosing, manual or quantitatively dosing. The traditional modes with large error, low efficiency and high cost, can not satisfy the requirements of modern mineral production. In order to solve this problem, a control strategy base on neural network and ELM(Extreme Learning Machine) is proposed. The control strategy of mineral dosing is discussed in detail in the dissertation, and achieveing good results according to the experiment.The research results have important directive to production practices. |
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