Predicting the compressive strength of self-compacting concrete using artificial intelligence techniques: A review

S Terlumun, ME Onyia, FO Okafor - AI in Civil Engineering, 2024 - Springer
Concrete is one of the most common construction materials used all over the world.
Estimating the strength properties of concrete traditionally demands extensive laboratory …

ANFIS ile ilgili yapılmış çalışmaların içerik analizi ile değerlendirilmesi: TR Dizin

M Polatgil - Avrupa Bilim ve Teknoloji Dergisi, 2021 - dergipark.org.tr
Uyarlamalı ağ tabanlı bulanık çıkarım sistemi (ANFIS), son yıllarda yapay zekâ çalışmaları
kapsamında sıklıkla tercih edilen yöntemlerden birisidir. Birçok farklı alanda ve farklı türde …

Predicting the compressive strength of self-compacting concrete using artificial intelligence techniques: A review

T Sesugh, M Onyia, O Fidelis - Turkish Journal of Engineering, 2024 - dergipark.org.tr
Concrete is one of the most common construction materials used all over the word. In
estimating the strength properties of concrete, laboratory works need to be carried out …

[PDF][PDF] Εφαρμογή μοντέλων νευρωνικών δικτύων σε προσομοιώσεις μοριακής δυναμικής για τον προσδιορισμό της ατομικής δομής υλικών

Χ Πλακούτσης - 2018 - dspace.lib.ntua.gr
The aim of the present diploma thesis is the investigation of the applicability of artificial
neural networks in molecular dynamics simulations and specifically in the definition of …

Geometric objects covering all red points and minimum blue points

S Maji, S Sadhu - Turkish Journal of Engineering, 2025 - dergipark.org.tr
Inspired by the applications in machine learning, we study a variation of the separation
problem for a given set of bichromatic points-blue (B) and red (R) with| B|= m and| R|= n …