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dc.contributor.authorEvirgen, Fırat
dc.date.accessioned2019-09-20T06:25:26Z
dc.date.available2019-09-20T06:25:26Z
dc.date.issued2017en_US
dc.identifier.issn0587-4246
dc.identifier.issn1898-794X
dc.identifier.urihttps://doi.org/10.12693/APhysPolA.132.1066
dc.identifier.urihttps://hdl.handle.net/20.500.12462/6407
dc.description.abstractA conformable fractional gradient based dynamic system with a steepest descent direction is proposed in this paper for a class of nonlinear programming problems. The solutions of the dynamic system, modelled with the conformable fractional derivative are investigated to obtain the minimizing point of the optimization problem. For this purpose, we use a step variational iteration method, adapted to use a conformable integral definition. Numerical simulations and comparisons show that the conformable fractional gradient based dynamic system is both feasible and efficient for a certain class of equality constrained optimization problems. Furthermore, the step variational iteration method, combined with the conformable integral definition, is a reliable tool for solving a system of fractional differential equations.en_US
dc.language.isoengen_US
dc.publisherPolish Acad Sciences Inst Physicsen_US
dc.relation.isversionof10.12693/APhysPolA.132.1066en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectNeural Networksen_US
dc.subjectRecurrent Neural Networksen_US
dc.subjectProjection Neuralen_US
dc.titleConformable fractional gradient based dynamic system for constrained optimization problemen_US
dc.typearticleen_US
dc.relation.journalActa Physica Polonica Aen_US
dc.contributor.departmentFen Edebiyat Fakültesien_US
dc.contributor.authorID0000-0002-0798-5004en_US
dc.identifier.volume132en_US
dc.identifier.issue3en_US
dc.identifier.startpage1066en_US
dc.identifier.endpage1069en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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