Iron Ore Grinding Energy Conservation Research Based on Neural Network

Tie Qiang Sun; Cui Xue Xie; Zhi Qi Qiu

doi:10.4028/www.scientific.net/AMM.385-386.1722

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Iron Ore Grinding Energy Conservation Research...

Iron Ore Grinding Energy Conservation Research Based on Neural Network

Abstract:

This article briefly introduces the iron ore grinding classification process and analyzes the distribution of mining energy consumption. To realize the energy conservation of the mill by using genetic BP neural network, we make MATLAB simulation test. It shows feasibility and superiority of the control scheme, which has some meaning for energy conservation and reducing consumption of iron mine.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1722-1725

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1722

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Online since:

August 2013

Authors:

Tie Qiang Sun, Cui Xue Xie, Zhi Qi Qiu

Keywords:

Ball Mill, Energy Conservation, Genetic BP Network, Neural Network (NN)

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References

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