Storage Requirement Estimation for Electronic Document Management System With Artificial Neural Networks
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Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Electronic 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.
Açıklama
Anahtar Kelimeler
Bilgisayar Bilimleri, Yazılım Mühendisliği, Bilgisayar Bilimleri, Bilgi Sistemleri
Kaynak
Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
3
