Prediction of Bedform Geometry with Neural Networks Using a Stratified Cross-Validation Approach

Keyphrases

• Neural Network 100%
• Cross-validation Method 100%
• Stratified Cross-validation 100%
• Bedform Geometry 100%
• Optimization Algorithm 66%
• Bridge pier 33%
• Laboratory Data 33%
• Dunes 33%
• Water-sediment System 33%
• Particle Size 33%
• Flow Intensity 33%
• Shear Stress 33%
• Network Model 33%
• Variable Flow 33%
• Mean Particle Diameter 33%
• Turbulence Scales 33%
• Non-dimensional Variables 33%
• Hydraulic Structure 33%
• Transition Class 33%
• Nadam 33%
• Pier Abutment 33%
• Sediment-laden Flow 33%
• Flow Depth 33%
• Bridge Abutment 33%
• Specific Gravity 33%
• Non-dimensional Parameters 33%
• Particle Fall Velocity 33%
• Flow Structure 33%
• Adamax 33%
• Free Surface Waves 33%
• RMSprop 33%
• River Width 33%
• F1 Score 33%

Engineering

• Nodes 100%
• Bridge Piers 100%
• Network Model 100%
• Particle Diameter 100%
• Intermediate Layer 100%
• Flow Variable 100%
• Free Surface 100%
• Flow Structure 100%
• Flowrates 100%
• Broad Range 100%
• Abutments (Bridge) 100%
• Hydraulic Structures 100%

Earth and Planetary Sciences

• Bedform 100%
• Wharf 10%
• Surface Wave 10%
• Density (Mass/Volume) 10%
• Flow Structure 10%
• Hydraulic Structure 10%