用高斯混合模型预处理大数据集提高矿场卡车生产率预测精度
IF 1.2
4区 工程技术
Q3 MINING & MINERAL PROCESSING
引用次数: 5
摘要
卡车运输数据集中的数据量和更准确的卡车生产率预测模型本文章由计算机程序翻译，如有差异，请以英文原文为准。
Preprocessing Large Datasets Using Gaussian Mixture Modelling to Improve Prediction Accuracy of Truck Productivity at Mine Sites
amounts of data in truck haulage datasets and a more accurate prediction model for truck productivity
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来源期刊
Archives of Mining Sciences
工程技术-矿业与矿物加工
CiteScore
2.40
自引率
16.70%
发文量
0
审稿时长
20 months
期刊介绍：
Archives of Mining Sciences (AMS) is concerned with original research, new developments and case studies in mining sciences and energy, civil engineering and environmental engineering. The journal provides an international forum for the publication of high quality research results in:
mining technologies,
mineral processing,
stability of mine workings,
mining machine science,
ventilation systems,
rock mechanics,
termodynamics,
underground storage of oil and gas,
mining and engineering geology,
geotechnical engineering,
tunnelling,
design and construction of tunnels,
design and construction on mining areas,
mining geodesy,
environmental protection in mining,
revitalisation of postindustrial areas.
Papers are welcomed on all relevant topics and especially on theoretical developments, analytical methods, numerical methods, rock testing, site investigation, and case studies.
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