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"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al. - Vimarsana News

"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al.

Slope failure is a significant risk in both civil and mining operations. This failure phenomenon is more likely to occur during the high rainfall season, areas with a high probability of seismic activity and in cold countries due to freezing-thawing. Further, a poor understanding of hydrogeology and geotechnical factors can contribute to erroneous engineering designs. Several Limit Equilibrium Methods (LEMs) and numerical modelling tools have been developed over the years. However, the highlighted success of the Artificial Neural Networks (ANNs) in other disciplines/sectors has motivated resea...

Source: uow.edu.au
"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al. - Vimarsana News

"Slope stability prediction using the Artificial Neural Network (ANN)" by Al Muhalab Al-Dughaishi, Shivakumar Karekal et al.

Slope failure is a significant risk in both civil and mining operations. This failure phenomenon is more likely to occur during the high rainfall season, areas with a high probability of seismic activity and in cold countries due to freezing-thawing. Further, a poor understanding of hydrogeology and geotechnical factors can contribute to erroneous engineering designs. Several Limit Equilibrium Methods (LEMs) and numerical modelling tools have been developed over the years. However, the highlighted success of the Artificial Neural Networks (ANNs) in other disciplines/sectors has motivated re...

Source: uow.edu.au