Prediction of the single pile seismic deflection by using FEM and ANN
A Namdar, O Mughieda, Y Liu, Y Deyu, Y Dong… - Geotechnical and …, 2024 - Springer
A failure prediction assessment is generally required to enhance infrastructural seismic
design. This study used Artificial Neural Networks (ANN) and the Finite Element Method …
design. This study used Artificial Neural Networks (ANN) and the Finite Element Method …
Nonlinear symbolic regression for bit error rate prediction of NOMA systems in 5G cellular communications
F Rahdari, M Sheikh-Hosseini - Engineering Applications of Artificial …, 2024 - Elsevier
Abstract Machine learning (ML) has been suggested as a promising tool in the design of
telecommunication systems to overcome the challenges of traditional methods and meet the …
telecommunication systems to overcome the challenges of traditional methods and meet the …
[HTML][HTML] Prediction model of lateral spreading of liquefied soil during earthquakes based on neural network
Y Yang, Z Lin, H Lu, X Zhan - Vibroengineering Procedia, 2023 - extrica.com
In response to the complex issue of predicting lateral spreading of liquefied soil during
earthquakes, this study establishes a comprehensive seismic database. The Newmark …
earthquakes, this study establishes a comprehensive seismic database. The Newmark …
[HTML][HTML] Prediction of liquefaction-induced lateral spreading based on Neural network
Y Yang, Z Lin, H Lu, X Zhan, S Ma - Journal of Vibroengineering, 2024 - extrica.com
In light of inherent errors associated with the existing methods for predicting lateral
spreading of liquefied soil during earthquakes, a novel approach has been proposed. Based …
spreading of liquefied soil during earthquakes, a novel approach has been proposed. Based …