{"title":"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","authors":"Chen Fan, Na Zhang, Bei Jiang, W. Liu","doi":"10.24425/ams.2022.143680","DOIUrl":null,"url":null,"abstract":"amounts of data in truck haulage datasets and a more accurate prediction model for truck productivity","PeriodicalId":55468,"journal":{"name":"Archives of Mining Sciences","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Preprocessing Large Datasets Using Gaussian Mixture Modelling to Improve Prediction Accuracy of Truck Productivity at Mine Sites\",\"authors\":\"Chen Fan, Na Zhang, Bei Jiang, W. Liu\",\"doi\":\"10.24425/ams.2022.143680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"amounts of data in truck haulage datasets and a more accurate prediction model for truck productivity\",\"PeriodicalId\":55468,\"journal\":{\"name\":\"Archives of Mining Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Mining Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.24425/ams.2022.143680\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MINING & MINERAL PROCESSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Mining Sciences","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.24425/ams.2022.143680","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MINING & MINERAL PROCESSING","Score":null,"Total":0}
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
