A Neuron Library for Rapid Realization of Artificial Neural Networks on FPGA: A Case Study of Rossler Chaotic System

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dc.contributor.authorKoyuncu, İsmail
dc.contributor.authorŞahin, İbrahim
dc.contributor.authorGloster, Clay
dc.contributor.authorSarıtekin, Namık Kemal
dc.date.accessioned2020-04-30T22:38:42Z
dc.date.available2020-04-30T22:38:42Z
dc.date.issued2017
dc.departmentDÜ, Düzce Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümüen_US
dc.descriptionWOS: 000385875000015en_US
dc.description.abstractArtificial neural networks (ANNs) are implemented in hardware when software implementations are inadequate in terms of performance. Implementing an ANN as hardware without using design automation tools is a time consuming process. On the other hand, this process can be automated using pre-designed neurons. Thus, in this work, several artificial neural cells were designed and implemented to form a library of neurons for rapid realization of ANNs on FPGAbased embedded systems. The library contains a total of 60 different neurons, two-, four- and six-input biased and non-biased, with each having 10 different activation functions. The neurons are highly pipelined and were designed to be connected to each other like Lego pieces. Chip statistics of the neurons showed that depending on the type of the neuron, about 25 selected neurons can be fit in to the smallest Virtex-6 chip and an ANN formed using the neurons can be clocked up to 576.89 MHz. ANN based Rossler system was constructed to show the effectiveness of using neurons in rapid realization of ANNs on embedded systems. Our experiments with the neurons showed that using these neurons, ANNs can rapidly be implemented as hardware and design time can significantly be reduced.en_US
dc.identifier.doi10.1142/S0218126617500153en_US
dc.identifier.issn0218-1266
dc.identifier.issn1793-6454
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1142/S0218126617500153
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2387
dc.identifier.volume26en_US
dc.identifier.wosWOS:000385875000015en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWorld Scientific Publ Co Pte Ltden_US
dc.relation.ispartofJournal Of Circuits Systems And Computersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFPGAen_US
dc.subjectVHDLen_US
dc.subjectartificial neural networksen_US
dc.subjectneuron libraryen_US
dc.subjectRossler systemen_US
dc.titleA Neuron Library for Rapid Realization of Artificial Neural Networks on FPGA: A Case Study of Rossler Chaotic Systemen_US
dc.typeArticleen_US

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