Design and Implementation of Neural Networks Neurons with RadBas, LogSig, and TanSig Activation Functions on FPGA

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dc.contributor.authorŞahin, İbrahim
dc.contributor.authorKoyuncu, İsmail
dc.date.accessioned2020-05-01T09:11:18Z
dc.date.available2020-05-01T09:11:18Z
dc.date.issued2012
dc.departmentDÜ, Teknik Eğitim Fakültesi, Elektronik ve Bilgisayar Eğitimi Bölümüen_US
dc.descriptionWOS: 000303226800011en_US
dc.description.abstractI. Sahin, I. Koyuncu. Design and Implementation of Neural Networks Neurons with RadBas, LogSig, and TanSig Activation Functions on FPGA // Electronics and Electrical Engineering. - Kaunas: Technologija, 2012. - No. 4(120). - P. 51-54. Artificial Neural Networks (ANNs) are utilized in several key areas such as prediction, classification, motor control, etc. When high performance is needed, FPGA realizations of the ANNs are preferred. In this study, we designed and implemented a total of 18 different FPGA-based neurons, 2, 4 and 6-input biased and non-biased with each having three different activation functions requiring the calculations of e(x). Our purpose was to show the possibility of implementing neural networks with exponential activation functions on current FPGAs and measure the performance of the neurons. The results showed that up to 10 neurons can fit in to the smallest Virtex-6 and the network can be clocked up to 405MHz. Ill. 6, bibl. 11, tabl. 2 (in English; abstracts in English and Lithuanian).en_US
dc.identifier.doi10.5755/j01.eee.120.4.1452en_US
dc.identifier.endpage54en_US
dc.identifier.issn1392-1215
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage51en_US
dc.identifier.urihttps://doi.org/10.5755/j01.eee.120.4.1452
dc.identifier.urihttps://hdl.handle.net/20.500.12684/5487
dc.identifier.volume120en_US
dc.identifier.wosWOS:000303226800011en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherKaunas Univ Technologyen_US
dc.relation.ispartofElektronika Ir Elektrotechnikaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleDesign and Implementation of Neural Networks Neurons with RadBas, LogSig, and TanSig Activation Functions on FPGAen_US
dc.typeArticleen_US

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