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dc.contributor.authorGünay E.
dc.contributor.authorAltun K.
dc.contributor.authorÜnal C.
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:32:55Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:32:55Z
dc.date.issued2019
dc.identifier.isbn9781538668788
dc.identifier.urihttps://dx.doi.org/10.1109/IDAP.2018.8620820
dc.identifier.urihttps://hdl.handle.net/20.500.12418/5651
dc.description2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 28 September 2018 through 30 September 2018 --en_US
dc.description.abstractIn this paper, a realization of Sprott-94-c system using Switch State Control Cellular Neural Network (SC-CNN) is presented. In addition to simulation results, Field Programmable Gate Arrays (FPGAs) and Field Programmable Analog Arrays (FPAAs) implementations of the proposed system are also presented. Experimental results confirm the convenience of the standpoint. © 2018 IEEE.en_US
dc.language.isoturen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionof10.1109/IDAP.2018.8620820en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFPAAen_US
dc.subjectFPGAen_US
dc.subjectSprott-94-c chaos generatoren_US
dc.titleFPGA and FPAA Implementation of Switched-State-Controlled CNN Based Sprott C Chaos Generator [Anahtarlamali Durum kontrollü HSA Tabanli Sprott C Kaos üretecinin FPGA ve FPAA Gerçekleştirimi]en_US
dc.typeconferenceObjecten_US
dc.relation.journal2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018en_US
dc.contributor.departmentGünay, E., Elektrik-Elektronik Mühendisli?i Bölümü, Erciyes Üniversitesi, Kayseri, Turkey -- Altun, K., Elektronik ve Otomasyon Bölümü, Cumhuriyet Üniversitesi, Sivas, Turkey -- Ünal, C., Çevre ve Şehircilik ve Il Müdürlü?ü, Antalya, Turkeyen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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