Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications
Artificial neural network (ANN) aimed to simulate the behavior of the nervous system as well
as the human brain. Neural network models are mathematical computing systems inspired …
as the human brain. Neural network models are mathematical computing systems inspired …
Prediction of the landslide susceptibility: Which algorithm, which precision?
HR Pourghasemi, O Rahmati - Catena, 2018 - Elsevier
Coupling machine learning algorithms with spatial analytical techniques for landslide
susceptibility modeling is a worth considering issue. So, the current research intend to …
susceptibility modeling is a worth considering issue. So, the current research intend to …
Prediction of seismic slope stability through combination of particle swarm optimization and neural network
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 …
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 …
Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm
In this study, the objective was to develop a new and highly-accurate artificial intelligence
model for slope failure prediction in open-pit mines. For this purpose, the M5Rules algorithm …
model for slope failure prediction in open-pit mines. For this purpose, the M5Rules algorithm …
Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods
H Moayedi, S Hayati - Applied Soft Computing, 2018 - Elsevier
This paper presents the results of an investigation into several non-linear machine learning
and soft computing-based models, namely, feedforward neural network (FFNN), radial basis …
and soft computing-based models, namely, feedforward neural network (FFNN), radial basis …
Prediction of safety factors for slope stability: comparison of machine learning techniques
Because of the disasters associated with slope failure, the analysis and forecasting of slope
stability for geotechnical engineers are crucial. In this work, in order to forecast the factor of …
stability for geotechnical engineers are crucial. In this work, in order to forecast the factor of …
Stability prediction of a natural and man-made slope using various machine learning algorithms
In this paper, an attempt has been made to implement various machine learning techniques
to predict the factor of safety of a natural residual soil slope and a man-made overburden …
to predict the factor of safety of a natural residual soil slope and a man-made overburden …
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances
Uniaxial compressive strength (UCS) of rock is crucial for any type of projects constructed
in/on rock mass. The test that is conducted to measure the UCS of rock is expensive, time …
in/on rock mass. The test that is conducted to measure the UCS of rock is expensive, time …