A Kaveh - Studies in computational intelligence, 2024 - Springer
In today's world, which has witnessed unprecedented advances in technology and computer science, artificial intelligence has emerged as a top field captivating global attention. Often …
M Kaczmarek, A Szymańska - Studia Geotechnica et Mechanica, 2016 - sciendo.com
Nonlinear structural mechanics should be taken into account in the practical design of reinforced concrete structures. Cracking is one of the major sources of nonlinearity …
JI Kim, DK Kim - KSCE Journal of Civil Engineering, 2002 - Springer
The compressive strength of concrete is mostly used criterion in producing concrete. However, testing for compressive strength of concrete specimens is a complicated and time …
N Ukrainczyk, V Ukrainczyk - Magazine of Concrete Research, 2008 - icevirtuallibrary.com
This paper describes the use of an artificial neural network (ANN) method for the analysis of relationships between a number of input parameters and observed damage owing to …
A Doroshenko - E3S Web of Conferences, 2020 - e3s-conferences.org
Currently, artificial neural networks (ANN) are used to solve the following complex problems: pattern recognition, speech recognition, complex forecasts and others. The main …
Z Waszczyszyn - Computer Assisted Methods in Engineering and …, 2017 - cames.ippt.gov.pl
This state-of-the-art-paper is a resume of research activity of a non-formal Research Group on Artificial Neural Networks (RGANN) applications in Civil Engineering (CE). RGANN has …
MNS Hadi - Computers & structures, 2003 - Elsevier
This paper presents and discusses the applications of neural networks in concrete structures. It aims at introducing neural networks applications in structural design. The paper …
SA Kudus, NM Bunnori, SR Basri… - Advanced Materials …, 2013 - Trans Tech Publ
This paper presents the overview of aArtificial Neural Network (ANN) in the scope of civil engineering application. ANN is one of the artificial intelligence (AI) applications which are …
Using the concept of the artificial neural networks and the results of the performed numerical analyses as input parameters, the prediction model for defining the fire resistance of RC …