利用 TabNet 进行深度学习：通过 X 射线荧光快速估算煤灰含量

IF 2 4区工程技术 Q4 ENERGY & FUELS

International Journal of Coal Preparation and Utilization Pub Date : 2024-04-15 DOI:10.1080/19392699.2024.2341952

Maiqiang Zhou, Zhiping Wen, Ge Xu, Zipeng Zhang, Changchun Zhou

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引用次数: 0

摘要

作为煤炭质量的重要指标，灰分含量的快速准确预测对选煤厂具有重要意义。在这项研究中，一种创新的方法将灰分含量与煤的质量结合在一起。

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Deep learning with TabNet: rapid coal ash content estimation via X-ray fluorescence

As a paramount index of coal quality, the quick and accurate prediction of ash content bears substantial significance for the coal preparation plant. In this study, an innovative approach that inte...

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来源期刊

International Journal of Coal Preparation and Utilization 工程技术-矿业与矿物加工

CiteScore

4.10

自引率

23.80%

发文量

106

审稿时长

6 months

期刊介绍： International Journal of Coal Preparation and Utilization publishes original research papers, short communications, review articles, book reviews, and symposium announcements covering all aspects of coal preparation. The journal is significant reading for all individuals involved with coal preparation, including those in operations, engineering, management, education, and scientific research. Topics include: coal properties and coal petrography; coal quality and characterization; surface chemistry of coal and minerals; crushing, grinding and liberation; coal screening and classification; dense medium and density separations; froth flotation and oil agglomeration; process control and optimization; flocculation and thickening; dewatering and thermal drying; briquetting and pelletizing; coal handling and storage; coal utilization and blending; waste disposal and pollution; utility waste product utilization; and carbon based material. Additional subjects covered by the journal include properties of coal/water and coal/oil slurries as well as the processing of oil shales and tarsands by physical and physiochemical methods.