Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Melda ALKAN ÇAKIROĞLU"'
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 2, Pp 426-432 (2021)
In this study, a new machine learning approach has been proposed to predict the rebound causing loss of material in shotcrete using the ensemble learning method. In shotcrete application, the amount of rebound material was obtained for use in a datas
Externí odkaz:
https://doaj.org/article/9f50753fbd2f41c9bbe2aa70cc64a23b
Publikováno v:
Volume: 8, Issue: 1 153-164
Mühendislik Bilimleri ve Tasarım Dergisi
Mühendislik Bilimleri ve Tasarım Dergisi
Shotcrete has many application areas such as repair/reinforcement of buildings damaged by an earthquake as well as metro, dam, bridge, tunnel construction and repair, slope stabilization so it's important to investigate the effects of certain factors
Autor:
Ahmet Ali Süzen, Melda Alkan Çakiroğlu
Publikováno v:
El-Cezeri Fen ve Mühendislik Dergisi.
In this study, the applicability of deep learning algorithms in the field of civil engineering has been investigated. Firstly, the information that is about deep learning algorithms has been given. Additionally, deep learning applications, which are
Autor:
Melda ALKAN ÇAKIROĞLU, Ozan ÇİMEN
Publikováno v:
Volume: 19, Issue: 2 60-65
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 19, Iss 2 (2015)
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 19, Iss 2 (2015)
In today numerical methods developing parallel with the development of computer technology widely used in the estimation of test results. One these methods Artificial Neural Networks (ANN), which is a sub-branch of artificial intelligence method. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ab6099659be84e3a41b43fa9cf785c9
http://dspace.sdu.edu.tr/xmlui/handle/123456789/19449
http://dspace.sdu.edu.tr/xmlui/handle/123456789/19449