Knowledge-Based Intellectual DSS of Steel Deoxidation in BOF Production Process

Zheldak T.A.^1, , Slesarev V.V.¹ and Volovenko D.O.¹

¹Department of Systems Analysis and Control, National Mining University, Dnipropetrovs’k, Ukraine

Cite this paper:
Zheldak T.A., Slesarev V.V. and Volovenko D.O.. Knowledge-Based Intellectual DSS of Steel Deoxidation in BOF Production Process. American Journal of Mining and Metallurgy. 2013; 1(1):7-10. doi: 10.12691/ajmm-1-1-2

Abstract

This article describes one of possible approaches to deoxidant cost optimization in steel production, based on the expert system. Education of the system is based on successfully completed heats. Bayesian networks and decision trees are suggested as the mechanisms for knowledge extraction.

Keywords:
Bayesian networks decision trees decision-making deoxidizing knowledge management rules

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