Artificial neural network-based surrogate models for predicting multiple seismic slope engineering demand parameters derived from material-point analyses
Fields of Study & Subjects
Landslides and related hazards
Geotechnical Engineering and Soil Mechanics
Geotechnical Engineering and Analysis
Publication details
- Journal / source
- Computers and Geotechnics
- Publisher
- Elsevier BV
- Volume
- 192
- Pages
- 107928–107928
- Publication date
- 19 January 2026
- Language
- EN