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https://hdl.handle.net/20.500.11851/6661
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Özbayoğlu, Gülhan | - |
dc.contributor.author | Özbayoğlu, Ahmet Murat | - |
dc.contributor.author | Özbayoğlu, M. Evren | - |
dc.date.accessioned | 2021-09-11T15:43:06Z | - |
dc.date.available | 2021-09-11T15:43:06Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.issn | 0301-7516 | - |
dc.identifier.issn | 1879-3525 | - |
dc.identifier.uri | https://doi.org/10.1016/j.minpro.2007.08.003 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6661 | - |
dc.description.abstract | In this research, different techniques for the estimation of coal HGI values are studied. Data from 163 sub-bituminous coals from Turkey are used by featuring I I coal parameters, which include proximate analysis, group maceral analysis and rank. Nonlinear regression and neural network techniques are used for predicting the HGI values for the specified coal parameters. Results indicate that a hybrid network which is a combination of 4 separate neural networks gave the most accurate HGI prediction and all of the neural network models, outperformed non-linear regression in the estimation process. (C) 2007 Elsevier B.V. All rights reserved. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Science Bv | en_US |
dc.relation.ispartof | International Journal of Mineral Processing | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Hardgrove grindability index | en_US |
dc.subject | Turkish coals | en_US |
dc.subject | neural networks | en_US |
dc.subject | non-linear regression | en_US |
dc.subject | proximate analysis | en_US |
dc.subject | petrographic analysis | en_US |
dc.title | Estimation of Hardgrove Grindability Index of Turkish Coals by Neural Networks | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 85 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 93 | en_US |
dc.identifier.endpage | 100 | en_US |
dc.authorid | 0000-0001-7998-5735 | - |
dc.identifier.wos | WOS:000253168100003 | en_US |
dc.identifier.scopus | 2-s2.0-37549050498 | en_US |
dc.institutionauthor | Özbayoğlu, Ahmet Murat | - |
dc.identifier.doi | 10.1016/j.minpro.2007.08.003 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.1. Department of Artificial Intelligence Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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