Effects of the stochastic and deterministic movements in the optimization processes

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dc.authoridKarci, Ali/0000-0002-8489-8617;
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosidAtes, Abdullah/V-6929-2018
dc.contributor.authorSeyyarer, Ebubekir
dc.contributor.authorKarci, Ali
dc.contributor.authorAtes, Abdullah
dc.date.accessioned2024-08-04T20:10:11Z
dc.date.available2024-08-04T20:10:11Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this study, a linear function representing the iris data set is obtained by making use of the MLR model. SGD, Momentum, Adagrad, RMSProp, Adadelta and Adam optimization algorithms are used to find the optimum values of coefficients of this function. An initialization method with initial population is recommended for these coefficients, which are generally initialized with a fixed or random value in MLRs. IAE, ITAE, MSE and ISE error functions are used as objective functions in the MLR model used. Initial populations of the methods are developed by using a proposed deterministic and classical stochastic initialization methods between upper and lower bounds. The method that are initialized stochasticaly is run several times as seen in literature and the mean values are calculated. On the other hand, the application that is initialized deterministic is only run once. According to the results of deterministic and stochastic initialization methods, it is observed that the coefficients and iteration numbers obtained in both applications are close to each other. Despite very high temporal gain is achieved from the application that is initialized deterministic. As a result of the comparisons, the linear model obtained with Adadelta and MSE reaches the result in the shortest time.en_US
dc.identifier.doi10.17341/gazimmfd.887976
dc.identifier.endpage965en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85128771373en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage949en_US
dc.identifier.trdizinid509288en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.887976
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/509288
dc.identifier.urihttps://hdl.handle.net/11616/92645
dc.identifier.volume37en_US
dc.identifier.wosWOS:000827262200028en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isotren_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal of The Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDeterministic initial populationen_US
dc.subjectstochastic initial populationen_US
dc.subjectmultivariate linear regressionen_US
dc.subjectoptimization algorithmsen_US
dc.subjectiris data seten_US
dc.titleEffects of the stochastic and deterministic movements in the optimization processesen_US
dc.typeArticleen_US

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