Assessment and Application of Deep Learning Algorithms in Civil Engineering

Year 2020, Volume: 7 Issue: 2, 906 - 922, 31.05.2020

Melda Alkan Çakıroğlu Ahmet Ali Süzen

https://doi.org/10.31202/ecjse.679113

Cited By: 1

Abstract

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 made, in subjects such as classification, estimation, and interpretation in the field of civil engineering, have been examined. The applications are elaborated according to civil engineering's sub-branches that transportation, geotechnical and construction. The contributions of the realized applications' in view of success rates to civil engineering that were analyzed. As a result of the study, it is foreseen that in the studies where the number of data is high, high performance will be achieved in the use of deep algorithms.

Keywords

Civil Engineering; Classification; Deep Learning Algorithms; Deep Neural Network; Vision.

İnşaat Mühendisliğinde Derin Öğrenme Algoritmalarının Değerlendirilmesi ve Uygulanması

Abstract

Bu çalışmada inşaat mühendisliği alanına derin öğrenme algoritmalarının uygulanabilirliği araştırılmıştır. Öncelikle derin öğrenme algoritmaları hakkında bilgiler verilmiştir. Ayrıca inşaat mühendisliği alanında sınıflandırma, tahmin ve yorumlama gibi konularda yapılan derin öğrenme uygulamaları incelenmiştir. Uygulamalar inşaat mühendisliğinin ulaştırma, hidrolik, mekanik, geoteknik ve yapı alt bilim dallarına göre detaylandırılmıştır. Gerçekleştirilen uygulamaların başarı oranları üzerinden inşaat mühendisliğine katkıları analiz edilmiştir. Çalışmanın sonucunda veri sayısının fazla olduğu çalışmalarda derin öğrenme algoritmalarının kullanımında yüksek başarım elde edileceği ön görülmektedir.

Keywords

Derin Öğrenme Algoritmaları; Derin Sinir Ağı; İnşaat mühendisliği; Sınıflandırma; Görü.

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