Understanding the impact of coal blending decisions on the prediction of coke quality: a data mining approach-Reference-Cited by-同舟云学术

Understanding the impact of coal blending decisions on the prediction of coke quality: a data mining approach

Published:2018-09-07 Issue:2 Volume:6 Page:207-217
ISSN:2095-8293
Container-title:International Journal of Coal Science & Technology
language:en
Short-container-title:Int J Coal Sci Technol

Author:

North Lauren A.^ORCID,Blackmore Karen L.^ORCID,Nesbitt Keith V.^ORCID,Hockings Kim^ORCID,Mahoney Merrick R.^ORCID

Funder

Australian Coal Association Research Program

Publisher

Springer Science and Business Media LLC

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology

Link

http://link.springer.com/content/pdf/10.1007/s40789-018-0217-2.pdf

Reference42 articles.

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3. Bertling H (1999) Coal and coke for blast furnaces. ISIJ Int 39:617–624. https://doi.org/10.2355/isijinternational.39.617

4. Biswas AK (1981) Principles of blast furnace ironmaking: theory and practice. Cootha Publishing, Brisbane

5. Bramer M (2016) Principles of data mining. Springer, London

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