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dc.contributor.authorIşık, Esme
dc.date.accessioned2022-03-22T08:07:34Z
dc.date.available2022-03-22T08:07:34Z
dc.date.issued2020en_US
dc.identifier.citationEsme, I. Ş. I. K. (2020). Analyzing of the viscosity by using artificial neural networks. Journal of Physical Chemistry and Functional Materials, 3(2), 72-76.en_US
dc.identifier.issn2651-3080
dc.identifier.urihttps://dergipark.org.tr/tr/pub/jphcfum/issue/56661/823028
dc.identifier.urihttps://hdl.handle.net/20.500.12899/748
dc.description.abstractThe nano networks with many thousands of devices which are working cooperatively to complete challenging tasks, ultra-responsive to changes in the environment, and self-replicating devices are called nano devices (nano machine). It is thought that the studies in this field will contribute greatly to the developments in the field of nano technology. Many models have been proposed to provide nano or macro-scale systems such as molecular communication, interstitial or inter-neural communication. In these systems, information is carried by the molecules in the diffusion medium and the viscosity of the medium is an important parameter. In this study, some of the system parameters, the viscosity and distance (d) between transmitter and receiver are examined detailed by using Artificial Neural Network (ANN) algorithm in Matlab. Viscosity and d are simulated and predicted by using ANN and they also compared with results of the proposed system model.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectNano-scale systemsen_US
dc.subjectViscosityen_US
dc.subjectArtificial neural networken_US
dc.titleAnalyzing of the Viscosity by Using Artificial Neural Networksen_US
dc.typearticleen_US
dc.authorid0000-0002-6179-5746en_US
dc.departmentMTÖ Üniversitesi, Darende Meslek Yüksekokulu, Tıbbi Hizmetler ve Teknikler Bölümüen_US
dc.identifier.volume3en_US
dc.identifier.issue2en_US
dc.identifier.startpage72en_US
dc.identifier.endpage76en_US
dc.relation.journalJournal of Physical Chemistry and Functional Materialsen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US


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