The Use of Graph Databases for Artificial Neural Networks
Storing and using trained artificial neural network (ANN) models face technical difficulties. These models are usually stored as files and cannot be run directly. An artificial neural network can be structurally expressed as a graph. Therefore, it would be much more useful to store ANN models in a d...
Saved in:
Main Authors: | Ahmet Cumhur Kınacı, Doğa Barış Özdemir |
---|---|
Format: | Article |
Language: | English |
Published: |
Çanakkale Onsekiz Mart University
2021-03-01
|
Series: | Journal of Advanced Research in Natural and Applied Sciences |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/1615834 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ALTERNATİF YATIRIM ARAÇLARI İLE BİTCOİN FİYATLARI ARASINDAKİ İLİŞKİNİN YAPAY SİNİR AĞI İLE TAHMİNİ
by: Ahmet Sel, et al.
Published: (2020-11-01) -
YAPAY SİNİR AĞLARI İLE BORSA ENDEKSİ TAHMİNİ - FORECASTING STOCK MARKET INDEX WITH ARTIFICIAL NEURAL NETWORKS
by: Aygülen Kayahan Karakul
Published: (2020-07-01) -
TÜRKİYE’NİN GSYİH TAHMİNİ İÇİN YAPAY SİNİR AĞLARI MODEL PERFORMANSLARININ KARŞILAŞTIRILMASI
by: Hasan Söyler, et al.
Published: (2015-04-01) -
EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE
by: Ayça Sarıalioğlu Hayali, et al.
Published: (2021-07-01) -
TÜRKİYE’YE GELEN TURİST SAYISI TAHMİNİNDE ZAMAN SERİLERİ ANALİZİ VE YAPAY SİNİR AĞLARI YÖNTEMLERİNİN KARŞILAŞTIRILMASI
by: Şebnem Zorlutuna, et al.
Published: (2019-11-01)