Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Prediction of cement-based mortars compressive strength using machine learning techniques — Panagiotis Asteris (2021) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Prediction of cement-based mortars compressive strength using machine learning techniques
Shared by
Panagiotis Asteris
Prediction of cement-based mortars compressive strength using machine learning techniques
Article
2021
en
Authors
+2 more
Panagiotis Asteris
MK
Mohammadreza Koopialipoor
DA
Danial Jahed Armaghani
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2019
Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars
Panagiotis Asteris
,
Maria Apostolopoulou
,
Athanasia D. Skentou
,
Αντωνία Μοροπούλου
Article
2020
On the metaheuristic models for the prediction of cement-metakaolin mortars compressive strength
Panagiotis Asteris
,
Maria Apostolopoulou
,
Danial Jahed Armaghani
,
Liborio Cavaleri
,
A.T. Chountalas
,
D. Guney
,
Mohsen Hajihassani
,
Mahdi Hasanipanah
,
Manoj Khandelwal
,
Christina Karamani
,
Mohammadreza Koopialipoor
,
Evgenios A. Kotsonis
,
Trung-Tri Le
,
Paulo B. Lourénço
,
Haï-Bang Ly
,
Αντωνία Μοροπούλου
,
Hoang Nguyen
Article
2019
Compressive strength of natural hydraulic lime mortars using soft computing techniques
Maria Apostolopoulou
,
Danial Jahed Armaghani
,
Asterios Bakolas
,
Maria G. Douvika
,
Αντωνία Μοροπούλου
,
Panagiotis Asteris
Article
2023
Compressive Strength Prediction of BFRC Based on a Novel Hybrid Machine Learning Model
Jiayan Zheng
,
Tianchen Yao
,
Jianhong Yue
,
Wang Ming-hui
,
Shuangchen Xia
Buildings
Article
2022
Laser-Induced Spectroscopy-Based Prediction of Soil Unconfined Compressive Strength: A Machine Learning Approach
Yakubu Wudil
,
Mohammed Al-osta
,
Omar S. Baghabra Al‐Amoudi
,
O.A. Al-Najjar
,
M.A. Gondal
SSRN Electronic Journal
Discussion(0)
No comments yet. Be the first to comment.