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The accuracy of the prediction models for surface roughness and micro hardness of denture teeth

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dc.contributor.authorDENİZ, ŞULE TUĞBA
dc.contributor.authorOzkan, Pelin
dc.contributor.authorOzkan, Gulay
dc.contributor.institutionauthorDENİZ, ŞULE TUĞBA
dc.date.accessioned2020-09-30T20:59:56Z
dc.date.available2020-09-30T20:59:56Z
dc.date.issued2019-12-01T00:00:00Z
dc.description.abstractThe paper aimed to compare the performance of artificial neural network (ANN) model with the results of in vitro experiments. For these experiments, maxillary molars of four different denture teeth were subjected to tea, coffee, cola, cherry juice, distilled water. Vickers microhardness and surface roughness values were measured. Subsequently, ANN model for the prediction of microhardness and surface roughness of different denture teeth were examined. A back-propagation ANN has been used to develop a model relating to the amount of microhardness and surface roughness. The independent variables of the model are distilled water, tea, filtered coffee, cola, cherry juice, time and denture teeth. Microhardness and surface roughness were chosen as the dependent variables. According to the results, a neural network architecture having one input layer with ten neurons, two hidden layers with six neurons, one output layer with two neurons and an epoch size of 48 gives better prediction. Prediction models for dental materials could also be supportive for in vitro studies.en
dc.identifier.citationDENİZ Ş. T. , Ozkan P., Ozkan G., -The accuracy of the prediction models for surface roughness and micro hardness of denture teeth-, DENTAL MATERIALS JOURNAL, cilt.38, ss.1012-1018, 2019
dc.identifier.doi10.4012/dmj.2018-014
dc.identifier.pubmed31582593
dc.identifier.scopus85075791091
dc.identifier.urihttp://hdl.handle.net/20.500.12645/19714
dc.identifier.urihttps://doi.org/10.4012/dmj.2018-014
dc.identifier.wosWOS:000510806600018
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDenture teeth
dc.subjectMicrohardness
dc.subjectNeural networks
dc.subjectPrediction
dc.subjectSurface roughness
dc.titleThe accuracy of the prediction models for surface roughness and micro hardness of denture teeth
dc.typeArticle
dspace.entity.typePublication
local.avesis.idf0e4fb97-5ee6-4469-9715-7703c6ffd5a0
local.publication.isinternational1
relation.isAuthorOfPublicationd83552c0-6072-495e-b29f-9fac4bced9bf
relation.isAuthorOfPublication.latestForDiscoveryd83552c0-6072-495e-b29f-9fac4bced9bf
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