焦化参数对焦炭质量的影响：基于机器学习的分析

IF 0.4 Q4 ENGINEERING, CHEMICAL

Coke and Chemistry Pub Date : 2025-03-14 DOI:10.3103/S1068364X24601173

M. V. Shishanov, M. S. Luchkin, A. Yu. Naletov, I. S. Mezrin

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引用次数: 0

摘要

采用机器学习和数据分析的方法研究了焦化参数对焦炭质量的影响。建立了基于焦化参数的焦炭反应性预测模型；事实证明它非常准确。机器学习在优化影响焦炭质量的焦化参数方面的潜力是显而易见的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Influence of Coking Parameters on Coke Quality: Analysis Based on Machine Learning

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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.

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来源期刊

Coke and Chemistry ENGINEERING, CHEMICAL-

CiteScore

0.70

自引率

50.00%

发文量

期刊介绍： The journal publishes scientific developments and applications in the field of coal beneficiation and preparation for coking, coking processes, design of coking ovens and equipment, by-product recovery, automation of technological processes, ecology and economics. It also presents indispensable information on the scientific events devoted to thermal rectification, use of smokeless coal as an energy source, and manufacture of different liquid and solid chemical products.