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 …

The paper deals with the neural identification of the compressive strength of concrete on the
basis of non‐destructively determined parameters. Basic information on artificial neural …

In the past few years literature on computational civil engineering has concentrated primarily
on artificial intelligence (Al) applications involving expert system technology. This article …

The non-destructive testing of concrete structures with methods such as ultrasonic pulse
velocity and Schmidt rebound hammer test is of utmost technical importance. Non …

Sažetak The application of artificial neural networks for solving complex civil engineering
problems is of huge importance for the construction design process. They can be …

The first journal article on neural network application in civil/structural engineering was
published by in this journal in 1989. This article reviews neural network articles published in …

Neural networks procedures provide a reliant analysis in several science and technology
fields. Neural network is often applied to develop statistical models for intrinsically non-linear …

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 …

The buckling behavior of columns, as the most influential members regarding the stability of
structures, has been a long-standing field of interest. Moreover, due to the conservative …

In last few years, big data and deep learning technologies have been successfully applied in
various fields of civil engineering with the great progress of machine learning techniques …