Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete
Evaluating the in situ concrete compressive strength by means of cores cut from hardened
concrete is acknowledged as the most ordinary method, however, it is very difficult to predict …
concrete is acknowledged as the most ordinary method, however, it is very difficult to predict …
Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms
Artificial intelligence algorithms have recently demonstrated their efficacy in accurately
predicting concrete properties by optimizing mixing proportions and overcoming design …
predicting concrete properties by optimizing mixing proportions and overcoming design …
Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
PG Asteris, M Nikoo - Neural Computing and Applications, 2019 - Springer
The artificial bee colony (ABC) algorithm is a recently introduced swarm intelligence
algorithm for optimization, which has already been successfully applied for the training of …
algorithm for optimization, which has already been successfully applied for the training of …
Prediction of concrete compressive strength by evolutionary artificial neural networks
M Nikoo, F Torabian Moghadam… - Advances in materials …, 2015 - Wiley Online Library
Compressive strength of concrete has been predicted using evolutionary artificial neural
networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary …
networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary …
Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars
Despite the extensive use of mortar materials in constructions over the last decades, there is
not yet a robust quantitative method, available in the literature, which can reliably predict …
not yet a robust quantitative method, available in the literature, which can reliably predict …
An intelligent model for the prediction of the compressive strength of cementitious composites with ground granulated blast furnace slag based on ultrasonic pulse …
In this study, the compressive strength of cementitious composite containing ground
granulated blast furnace slag (GGBFS) has been predicted. For this purpose, the intelligent …
granulated blast furnace slag (GGBFS) has been predicted. For this purpose, the intelligent …
Identifying fake accounts on social networks based on graph analysis and classification algorithms
M Mohammadrezaei, ME Shiri… - Security and …, 2018 - Wiley Online Library
Social networks have become popular due to the ability to connect people around the world
and share videos, photos, and communications. One of the security challenges in these …
and share videos, photos, and communications. One of the security challenges in these …
A novel combination of PCA and machine learning techniques to select the most important factors for predicting tunnel construction performance
J Wang, AS Mohammed, E Macioszek, M Ali, DV Ulrikh… - Buildings, 2022 - mdpi.com
Numerous studies have reported the effective use of artificial intelligence approaches,
particularly artificial neural networks (ANNs)-based models, to tackle tunnelling issues …
particularly artificial neural networks (ANNs)-based models, to tackle tunnelling issues …
Concrete condition assessment using impact-echo method and extreme learning machines
JK Zhang, W Yan, DM Cui - Sensors, 2016 - mdpi.com
The impact-echo (IE) method is a popular non-destructive testing (NDT) technique widely
used for measuring the thickness of plate-like structures and for detecting certain defects …
used for measuring the thickness of plate-like structures and for detecting certain defects …
[PDF][PDF] Evaluation of concrete compressive strength using artificial neural network and multiple linear regression models
F Khademi, K Behfarnia - 2016 - sid.ir
In the present study, two different data-driven models, ARTIFICIAL NEURAL NETWORK
(ANN) and MULTIPLE LINEAR REGRESSION (MLR) models, have been developed to …
(ANN) and MULTIPLE LINEAR REGRESSION (MLR) models, have been developed to …