Soft computing techniques in structural and earthquake engineering: a literature review

R Falcone, C Lima, E Martinelli - Engineering Structures, 2020 - Elsevier
Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

Artificial intelligence in civil engineering

P Lu, S Chen, Y Zheng - Mathematical Problems in …, 2012 - Wiley Online Library
Artificial intelligence is a branch of computer science, involved in the research, design, and
application of intelligent computer. Traditional methods for modeling and optimizing complex …

Applications of Artificial neural networks and machine learning in Civil Engineering

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 …

Emerging artificial intelligence methods in structural engineering

H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Soft computing in engineering design–A review

KM Saridakis, AJ Dentsoras - Advanced Engineering Informatics, 2008 - Elsevier
The present paper surveys the application of soft computing (SC) techniques in engineering
design. Within this context, fuzzy logic (FL), genetic algorithms (GA) and artificial neural …

Review on application of artificial intelligence in civil engineering

Y Huang, J Fu - Computer Modeling in Engineering & Sciences, 2019 - ingentaconnect.com
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 …

[图书][B] Metaheuristic applications in structures and infrastructures

XS Yang, S Talatahari, AH Alavi - 2013 - books.google.com
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional
energy sources, demand for lightweight, efficient and low-cost structures has become …

Neural network based prediction schemes of the non-linear seismic response of 3D buildings

ND Lagaros, M Papadrakakis - Advances in Engineering Software, 2012 - Elsevier
Since early 1980s new families of computational methods, termed as soft computing (SC)
methods, have been proposed. SC methods are based on heuristic approaches rather than …

Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices

ATG Tapeh, MZ Naser - Archives of Computational Methods in …, 2023 - Springer
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

[HTML][HTML] Neuro-fuzzy systems in construction engineering and management research

GG Tiruneh, AR Fayek, V Sumati - Automation in construction, 2020 - Elsevier
Neuro-fuzzy systems (NFS) can explicitly represent and model the input–output
relationships of complex problems and non-linear systems, like those inherent in real-world …