ANN Circuit Application of Complementary Resistive Switches

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dc.contributor.authorUçar, Erdem
dc.contributor.authorKarakulak, Ertuğrul
dc.contributor.authorMutlu, Reşat
dc.date.accessioned2022-05-11T14:17:34Z
dc.date.available2022-05-11T14:17:34Z
dc.date.issued2019
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü
dc.description.abstractArtificial neural networks are successfully used for classification, prediction, estimation, modeling and system control. However, artificial neural networks integrated circuits are expensive and not matured enough. Memristors or memristive systems which show a nonvolatile memory behavior has a high potential for use in artificial neural network circuit applications. Some memristive synapse or memristive neural network applications already exist in literature. The complementary memristor or resistive switch memories have been suggested as an alternative to one-cell memristor memories. Their sensing is more difficult and complex than the others. The complementary memristor memory topologies with a sensing node are also inspected in literature. To the best of our knowledge, a neural network circuit which is based on the complementary resistive switches with a sensing/writing node does not exist in literature yet. In this paper, several neural network circuits which are based on the complementary resistive switches with a sensing/writing node have been designed and examined for the first time in literature. Their analysis are given and simulations are performed to verify their operation. We expect that such a complementary resistive switch implementation may find use in artificial neural networks chips in the future.
dc.identifier.doi10.17694/bajece.457902
dc.identifier.endpage43
dc.identifier.issn2147-284X
dc.identifier.issue1en_US
dc.identifier.startpage34
dc.identifier.trdizinidTXpFM05qTXlNZz09
dc.identifier.urihttps://doi.org/10.17694/bajece.457902
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TXpFM05qTXlNZz09
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6402
dc.identifier.volume7
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorKarakulak, Ertuğrul
dc.institutionauthorMutlu, Reşat
dc.language.isoen
dc.relation.ispartofBalkan Journal of Electrical and Computer Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBilgisayar Bilimleri
dc.subjectYapay Zeka
dc.subjectBilgisayar Bilimleri
dc.subjectSibernitik
dc.subjectBilgisayar Bilimleri
dc.subjectDonanım ve Mimari
dc.subjectBilgisayar Bilimleri
dc.subjectBilgi Sistemleri
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectBilgisayar Bilimleri
dc.subjectTeori ve Metotlar
dc.subjectMühendislik
dc.subjectBiyotıp
dc.subjectMühendislik
dc.subjectElektrik ve Elektronik
dc.subjectYeşil
dc.subjectSürdürülebilir Bilim ve Teknoloji
dc.subjectTelekomünikasyon
dc.titleANN Circuit Application of Complementary Resistive Switches
dc.typeArticle

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