Drying of black cumin (Nigella sativa) in a microwave assisted drying system and modeling using extreme learning machine

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dc.authoridBalbay, Asim/0000-0003-1052-5903
dc.authoridSAHIN, Omer/0000-0003-4575-3762
dc.contributor.authorBalbay, Asim
dc.contributor.authorKaya, Yilmaz
dc.contributor.authorSahin, Omer
dc.date.accessioned2024-12-24T19:27:02Z
dc.date.available2024-12-24T19:27:02Z
dc.date.issued2012
dc.departmentSiirt Üniversitesi
dc.description.abstractDrying characteristics of Black cumin seeds (BCs) (Nigella sativa) with initial moisture content 58.14% (d.b) was investigated in microwave assisted drying system. The experiments were carried out in two aspects which were the BCs drying with different temperatures (35, 40 and 50 degrees C) and different microwave power levels (250, 500 and 750 W). The results showed that the drying rates of BCs have high efficiency with drying temperatures at constant microwave power level. Furthermore, in present study, the applications of Extreme Learning Machine (ELM) and Artificial Neural Network (ANN) for predicting the moisture ratio (MR) (output feature for ELM modeling) were investigated. Microwave temperature, microwave power and drying time were input layer features for the modeling. An ELM model by 93 neurons with Sine transfer function in hidden layer was selected. The results revealed that a network with the Sine function made the most accurate prediction for the BCs drying system. For BCs all data set, maximum R-2 and minimum RMSE (root mean square error) were found as 0.9987 and 0.0123, respectively. (C) 2012 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.energy.2012.06.022
dc.identifier.endpage357
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84864330717
dc.identifier.scopusqualityQ1
dc.identifier.startpage352
dc.identifier.urihttps://doi.org/10.1016/j.energy.2012.06.022
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6477
dc.identifier.volume44
dc.identifier.wosWOS:000308259300034
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEnergy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectBlack cumin
dc.subjectMicrowave
dc.subjectDrying
dc.subjectModeling
dc.subjectELM
dc.titleDrying of black cumin (Nigella sativa) in a microwave assisted drying system and modeling using extreme learning machine
dc.typeArticle

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