State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …
and limited land in metropolitan cities in the recent years. However, the behavior of …
Applications of particle swarm optimization in geotechnical engineering: a comprehensive review
M Hajihassani, D Jahed Armaghani… - Geotechnical and …, 2018 - Springer
Particle swarm optimization (PSO) is an evolutionary computation approach to solve
nonlinear global optimization problems. The PSO idea was made based on simulation of a …
nonlinear global optimization problems. The PSO idea was made based on simulation of a …
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
DJ Armaghani, PG Asteris - Neural Computing and Applications, 2021 - Springer
Despite the extensive use of mortars materials in constructions over the last decades, there
is not yet a reliable and robust method, available in the literature, which can estimate its …
is not yet a reliable and robust method, available in the literature, which can estimate its …
Introducing stacking machine learning approaches for the prediction of rock deformation
Accurate and reliable predictions of rock deformations are crucial in many rock-based
projects in civil and mining engineering. In this research, a new system for the prediction of …
projects in civil and mining engineering. In this research, a new system for the prediction of …
Closed-form equation for estimating unconfined compressive strength of granite from three non-destructive tests using soft computing models
The use of three artificial neural network (ANN)-based models for the prediction of
unconfined compressive strength (UCS) of granite using three non-destructive test …
unconfined compressive strength (UCS) of granite using three non-destructive test …
Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes
This study is aimed to investigate the surface eco-protection techniques for cohesive soil
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …
Prediction of seismic slope stability through combination of particle swarm optimization and neural network
B Gordan, D Jahed Armaghani, M Hajihassani… - Engineering with …, 2016 - Springer
One of the main concerns in geotechnical engineering is slope stability prediction during the
earthquake. In this study, two intelligent systems namely artificial neural network (ANN) and …
earthquake. In this study, two intelligent systems namely artificial neural network (ANN) and …
Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
Many attempts have been made to predict unconfined compressive strength (UCS) of rocks
using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from …
using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from …
Feasibility of indirect determination of blast induced ground vibration based on support vector machine
M Hasanipanah, M Monjezi, A Shahnazar… - Measurement, 2015 - Elsevier
Mines, quarries, and construction sites face blasting environmental problems due to high
level of ground vibrations. This phenomena can cause injury to both human and damage to …
level of ground vibrations. This phenomena can cause injury to both human and damage to …
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions
The evaluation and precise prediction of safety factor (SF) of slopes can be useful in
designing/analyzing these important structures. In this study, an attempt has been made to …
designing/analyzing these important structures. In this study, an attempt has been made to …