Storage Requirement Estimation for Electronic Document Management System With Artificial Neural Networks

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dc.contributor.authorÇetinkaya, Zeynep
dc.contributor.authorErdal, Erdal
dc.contributor.authorErgüzen, Atilla
dc.date.accessioned2025-01-21T16:15:49Z
dc.date.available2025-01-21T16:15:49Z
dc.date.issued2020
dc.departmentKırıkkale Üniversitesi
dc.description.abstractElectronic document management systems are defined as the protection and management of the contents, formats and relational features of all kinds of documents created by an institution in the process of carrying out its activities. Storage areas are one of the important elements for electronic document management systems. With every transaction and activity transferred to electronic environment in institutions, the infrastructure and investments that should be allocated for Electronic document management systems storage areas increase and the forecast of this increase becomes more important over time. Artificial neural networks (ANN) approach has been used in many areas in recent years. Estimation studies in different fields have been made with ANN and it has been observed that successful results have been obtained. In this study, an ANN model is proposed to be used in estimating the storage area required for electronic document management systems. In this study using Kırıkkale University Electronic documen t management systems data, different ANN models were created, the most suitable models were determined, and the required storage area was estimated for the future periods.
dc.identifier.doi10.29137/umagd.827683
dc.identifier.endpage72
dc.identifier.issn1308-5514
dc.identifier.issue3
dc.identifier.startpage65
dc.identifier.trdizinid475535
dc.identifier.urihttps://doi.org/10.29137/umagd.827683
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/475535
dc.identifier.urihttps://hdl.handle.net/20.500.12587/22257
dc.identifier.volume12
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofUluslararası Mühendislik Araştırma ve Geliştirme Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectBilgisayar Bilimleri
dc.subjectBilgi Sistemleri
dc.titleStorage Requirement Estimation for Electronic Document Management System With Artificial Neural Networks
dc.typeArticle

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