Chaotic Fractional Order Delayed Cellular Neural Network

dc.contributor.authorCelik, Vedat
dc.contributor.authorDemir, Yakup
dc.date.accessioned2026-08-12T17:01:36Z
dc.date.issued2010
dc.departmentFırat Üniversitesi
dc.descriptionInternational Workshops on New Trends in Science and Technology (NTST 08)/ Fractional Differentiation and its Applications (FDA08) -- NOV, 2008 -- Cankaya Univ, Ankara, TURKEY
dc.description.abstractThis paper deals with the fractional order model of the two-cell autonomous Delayed Cellular Neural Network which exhibits chaotic behavior. Numerical simulation results demonstrate that the chaos can be observed in fractional order Delayed Cellular Neural Network for fractional order q >= 0.1. Also the tau delay time values for which the chaos occurs in q system order, is quantitatively defined using largest Lyapunov exponents.
dc.description.sponsorshipCankaya Univ,TUBITAK,IFAC
dc.identifier.doi10.1007/978-90-481-3293-5_27
dc.identifier.endpage320
dc.identifier.isbn978-90-481-3292-8
dc.identifier.startpage313
dc.identifier.urihttps://doi.org/10.1007/978-90-481-3293-5_27
dc.identifier.urihttps://hdl.handle.net/11508/47781
dc.identifier.wosWOS:000282473500027
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherSpringer-Verlag Berlin
dc.relation.ispartofNew Trends in Nanotechnology and Fractional Calculus Applications
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectSystem
dc.titleChaotic Fractional Order Delayed Cellular Neural Network
dc.typeConference Object

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