In this study, an effective intelligent system based on artificial neural networks (ANN) and a
new version of the sine cosine algorithm (SCA) is developed to evaluate and predict the …

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 …

The analysis and prediction of slope stability are very important, because slope failure can
lead to large disasters. This paper focused on a performance comparison of four supervised …

Slope engineering is a type of complex system engineering that is mostly involved in water
conservancy and civil and mining engineering. Moreover, the link between slope stability …

In this paper, the machine learning (ML) model is built for slope stability evaluation and
meets the high precision and rapidity requirements in slope engineering. Different ML …

In this paper, a neuro particle-based optimization of the artificial neural network (ANN) is
investigated for slope stability calculation. The results are also compared to another artificial …

This study aims to develop a new artificial intelligence model for analyzing and evaluating
slope stability in open-pit mines. Indeed, a novel hybrid intelligent technique based on an …

Slope instability can lead to catastrophic consequences. However, predicting slope stability
effectively is still challenging because of the complex mechanisms and multiple influencing …

Accurate prediction of slope stability is a significant issue in geomechanics with many
artificial intelligence (AI) techniques being utilised. However, the application of AI has not …

This paper proposes an intelligent slope stability prediction method based on the improved
pelican optimization algorithm (IPOA) and the optimization random forest (RF) algorithm to …