Using artificial neural network (ANN) in prediction of collapse settlements of sandy gravels

Engineering

• Artificial Neural Network 100%
• Measured Value 50%
• Root Mean Square Error 50%
• Geotechnical Engineer 50%
• Predicted Value 50%
• Direct Shear Test 50%
• Sand Content 50%
• Feedforward 50%
• Large Deformation 50%
• Applied Stress 50%
• Hazards 50%
• Design Phase 50%
• Backpropagation 50%

Keyphrases

• Artificial Neural Network 100%
• Collapse Settlement 100%
• Sandy Gravel 100%
• Stress Release 42%
• Feed Forward Back Propagation Neural Network (FFBPNN) 28%
• Settlement Value 28%
• Normal Stress 14%
• Root Mean Square Error 14%
• High Correlation 14%
• Coefficient of Determination 14%
• Significant Damage 14%
• Embankment Dam 14%
• Large-scale Direct Shear Test 14%
• Design Phase 14%
• Gravel Material 14%
• Geotechnical Hazards 14%
• Three-layered 14%
• Deformation Damage 14%
• Sand Content 14%
• Geotechnical Engineer 14%
• Large Deformation 14%
• First Impoundment 14%