Decision tree regression model to predict low-rank coal moisture content during convective drying process

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dc.authorid0000-0002-9388-6554en_US
dc.contributor.authorPekel, Engin
dc.contributor.authorAkkoyunlu, Mehmet Cabir
dc.contributor.authorAkkoyunlu, Mustafa Tahir
dc.contributor.authorPusat, Şaban
dc.date.accessioned2020-04-21T19:41:56Z
dc.date.available2020-04-21T19:41:56Z
dc.date.issued2020en_US
dc.departmentKMÜ, Teknik Bilimler Meslek Yüksekokulu, Makine ve Metal Teknolojileri Bölümüen_US
dc.descriptionWOS:000519514800001en_US
dc.description.abstractCoal is still a significant energy source for the world. Due to the utilization of low-rank coal, drying is a key issue. There are lots of attempts to develop efficient drying processes. The most prominent method seems as thermal drying. For thermal drying processes, the most important subject is the coal moisture content change with time. In this study, convective drying experiments were utilized to develop a new model based on decision tree regression method to predict coal moisture content. The developed model gives satisfactory results in prediction of instant coal moisture content with changing drying conditions. With the decision tree depth of six, the best test results were achieved as 0.056 and 0.802 for MSE and R-2 analyses, respectively.en_US
dc.identifier.citationPekel, E., Akkoyunlu, M. C., Akkoyunlu, M. T., Pusat, S. ( 2020). Decision tree regression model to predict low-rank coal moisture content during convective drying process. International Journal of Coal Preparation and Utilizationen_US
dc.identifier.doi10.1080/19392699.2020.1737527
dc.identifier.issn1939-2699
dc.identifier.issn1939-2702
dc.identifier.scopus2-s2.0-85081742769
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1080/19392699.2020.1737527
dc.identifier.urihttps://hdl.handle.net/11492/3441
dc.identifier.wosWOS:000519514800001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorAkkoyunlu, Mehmet Cabir
dc.language.isoen
dc.publisherTaylor & Francisen_US
dc.relation.journalInternational Journal of Coal Preparation and Utilizationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDecision Tree Regressionen_US
dc.subjectCoal Dryingen_US
dc.subjectMoisture Contenten_US
dc.subjectLow-Rank Coalen_US
dc.titleDecision tree regression model to predict low-rank coal moisture content during convective drying processen_US
dc.typeArticle

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