The Application of Data Mining in the Ore Mixing of Sintering Process

Rui Yin Tang; Hong Kun He; Jian Wei Li

doi:10.4028/www.scientific.net/AMR.562-564.1549

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564The Application of Data Mining in the Ore Mixing...

The Application of Data Mining in the Ore Mixing of Sintering Process

Abstract:

The article indroduced the system of ore mixing of sintering based on data mining. Appled the method of cluster to the saved history data of the sintering process to classfy the history data into three category. Every new sample should be put into the Corresponding cluster by the distance of Eucliden, at the meantime, find the nearest proportioning ore case, and the quality index of the new sample is same with the nearest case. The method is more useful and easy.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1549-1552

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1549

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Online since:

August 2012

Authors:

Rui Yin Tang, Hong Kun He, Jian Wei Li

Keywords:

CBR, Cluste Engineering R, Data Mining (DM), Ore-Mixing

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References

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