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dc.contributor.authorGunay, Enis
dc.contributor.authorAltun, Kenan
dc.contributor.authorUnal, Cengiz
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:38:48Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:38:48Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.urihttps://hdl.handle.net/20.500.12418/6416
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.descriptionWOS: 000458717400098en_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.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Scien_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSprott-94-c chaos generatoren_US
dc.subjectFPGAen_US
dc.subjectFPAAen_US
dc.titleFPGA and FPAA Implementation of Switched-State-Controlled CNN Based Sprott C Chaos Generatoren_US
dc.typeconferenceObjecten_US
dc.relation.journal2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP)en_US
dc.contributor.department[Gunay, Enis] Erciyes Univ, Elekt Elekt Muhendisligi Bolumu, Kayseri, Turkey -- [Altun, Kenan] Cumhuriyet Univ, Elekt & Otomasyon Bolumu, Sivas, Turkey -- [Unal, Cengiz] Cevre & Sehircilik & Mudurlugu, Antalya, Turkeyen_US
dc.contributor.authorIDALTUN, KENAN -- 0000-0001-7419-1901en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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