Influence of Coking Parameters on Coke Quality: Analysis Based on Machine Learning
The influence of coking parameters on coke quality is investigated by means of machine learning and data analysis. A model is developed for predicting the reactivity of coke on the basis of the coking parameters; it proves highly accurate. The potential of machine learning in optimizing the coking parameters that affect coke quality is clear.
Authors
- A. Yu. Naletov
- M. S. Luchkin (ORCID: https://orcid.org/0009-0008-8095-5603)
- М. В. Шишанов (ORCID: https://orcid.org/0000-0003-2861-5878)
- I. S. Mezrin
Institutions
- D. Mendeleyev University of Chemical Technology of Russia (RU)
Publication Details
- Journal
- Coke and Chemistry
- Published
- 2024-12-01
- DOI
- https://doi.org/10.3103/s1068364x24601173
- Citations
- 1
- Primary Topic
- Coal and Coke Industries Research
- Type
- article
- Field-Weighted Citation Impact
- 1.11