Improving Pseudo Random Number Generator Using Artificial Neural Networks

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dc.contributor.authorYayik, Apdullah
dc.contributor.authorKutlu, Yakup
dc.date.accessioned2024-09-18T20:33:00Z
dc.date.available2024-09-18T20:33:00Z
dc.date.issued2013
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_US
dc.description.abstractPseudo-random number generators generate sequent of digits that cannot be expected before. Random number generators are used in lots of studies especially physical and statical implementations. In this paper; by using Multi-Layer Perceptron Neural Network, a traditional random number generator is strengthened. In the end of the study; both of random number generators are tested by some randomness tests of National Institute of Standard Technology test suite. As a result, it is learned that Neural Networks can generate good random numbers.en_US
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84880868534en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/11256
dc.identifier.wosWOS:000325005300334en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMulti-Layer Perceptronen_US
dc.subjectNeural Networksen_US
dc.subjectPseudo Random Number Generatorsen_US
dc.titleImproving Pseudo Random Number Generator Using Artificial Neural Networksen_US
dc.typeConference Objecten_US

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