[PDF][PDF] State of the art of artificial neural networks in geotechnical engineering

MA Shahin, MB Jaksa, HR Maier - Electronic Journal of …, 2008 - researchgate.net
Over the last few years, artificial neural networks (ANNs) have been used successfully for
modeling almost all aspects of geotechnical engineering problems. Whilst ANNs provide a …

Recent advances and future challenges for artificial neural systems in geotechnical engineering applications

MA Shahin, MB Jaksa, HR Maier - Advances in Artificial Neural …, 2009 - Wiley Online Library
Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to
provide a high level of competency in solving many complex engineering problems that are …

Hybridization of metaheuristic algorithms with adaptive neuro-fuzzy inference system to predict load-slip behavior of angle shear connectors at elevated temperatures

M Shariati, SM Davoodnabi, A Toghroli, Z Kong… - Composite structures, 2021 - Elsevier
Abstract Steel-Concrete Composite floor systems are one of the essential components in the
construction industry. Recent studies have shown that fire-induced problems damage shear …

Some applications of adaptive neuro-fuzzy inference system (ANFIS) in geotechnical engineering

AF Cabalar, A Cevik, C Gokceoglu - Computers and Geotechnics, 2012 - Elsevier
This paper presents a review of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in
current use for geotechnical engineering-based studies, as well as some applications …

[HTML][HTML] Constrained vertex optimization and simulation of the unconfined compressive strength of geotextile reinforced soil for flexible pavement foundation …

DE Aju, KC Onyelowe, GU Alaneme - Cleaner Engineering and Technology, 2021 - Elsevier
Extreme vertex design (EVD) provides an efficient approach to mixture experiment design
whereby the factor level possesses multiple dependencies expressed through component …

An extreme learning machine model for geosynthetic-reinforced sandy soil foundations

MNA Raja, SK Shukla - Proceedings of the institution of civil …, 2022 - icevirtuallibrary.com
In the past, several experimental and theoretical studies have been carried out to evaluate
the ultimate bearing capacity (UBC) of geosynthetic-reinforced sandy soil foundations …

Artificial intelligence in geotechnical engineering: applications, modeling aspects, and future directions

MA Shahin - Metaheuristics in water, geotechnical and transport …, 2013 - books.google.com
Geotechnical engineering deals with materials (eg, soil and rock) that, by their very nature,
exhibit varied and uncertain behavior due to the imprecise physical processes associated …

The optimal ANN Model for predicting bearing capacity of shallow foundations trained on scarce data

M Bagińska, PE Srokosz - KSCE Journal of Civil Engineering, 2019 - Springer
This study is focused on determining the potential of using Deep Neural Networks (DNNs) to
predict the ultimate bearing capacity of shallow foundation in situations when the …

A review of artificial intelligence applications in shallow foundations

MA Shahin - International Journal of Geotechnical Engineering, 2015 - Taylor & Francis
Geotechnical engineering deals with materials (eg soil and rock) that, by their very nature,
exhibit varied and uncertain behavior because of the imprecise physical processes …

Applications of fuzzy theory-based approaches in tunnelling geomechanics: a state-of-the-art review

VC Madanda, F Sengani, F Mulenga - Mining, Metallurgy & Exploration, 2023 - Springer
The first introduction of fuzzy theory in the nineteenth century created room for continuous
research and application in various fields. Fuzzy set theory has been globally applied in …