A model of deep neural network for iris classification with different activation functions

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dc.authorid0000-0002-5561-1568en_US
dc.authorid0000-0002-7333-8104en_US
dc.authorid0000-0002-5229-4018en_US
dc.contributor.authorEldem, Ayşe
dc.contributor.authorEldem, Hüseyin
dc.contributor.authorÜstün, Deniz
dc.date.accessioned2019-12-06T21:15:40Z
dc.date.available2019-12-06T21:15:40Z
dc.date.issued2018
dc.departmentKMÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.descriptionWOS:000458717400143en_US
dc.description.abstractIn recent years, deep neural network (DNN) has been frequently used for classification. In this study, iris flowers having 3 different types are classified by using DNN which are utilized the width and length of petal and sepal features as input. Some experiments are made for the iris dataset by using different activation functions and different epoch numbers. Then, the activation function which gives the best result is determined. The classification success of the developed model is achieved 96% for the iris dataset.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Scien_US
dc.identifier.citationEldem, A., Eldem, H., Üstün, D., & 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). (September 01, 2018). A model of deep neural network for iris classification with different activation functions.
dc.identifier.doi10.1109/IDAP.2018.8620866
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062569610
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11492/2676
dc.identifier.urihttps://doi.org/10.1109/IDAP.2018.8620866
dc.identifier.wosWOS:000458717400143
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorEldem, Ayşe
dc.institutionauthorEldem, Hüseyin
dc.institutionauthorÜstün, Deniz
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.journal2018 International Conference on Artificial Intelligence and Data Processing (IDAP)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassificationen_US
dc.subjectDeep Learningen_US
dc.subjectDeep Neural Networken_US
dc.subjectIrisen_US
dc.titleA model of deep neural network for iris classification with different activation functionsen_US
dc.typeConference Object

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