Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression

Mathematics

• Epistemic Uncertainty 100%
• Fluid Flow 57%
• Averaging 55%
• Neural Networks 55%
• Regression 45%
• Wake 26%
• Uncertainty Quantification 26%
• Function Approximation 22%
• Training 20%
• Ensemble 19%
• Square Cylinder 16%
• Confidence interval 16%
• Network Architecture 14%
• Multilayer Perceptron 14%
• Learning Rate 13%
• State Estimation 12%
• Multiple Models 12%
• Range of data 12%
• Far Field 11%
• Circular Cylinder 11%
• Sensor 11%
• Standard deviation 10%
• Posterior distribution 9%
• Gaussian distribution 8%
• Engineering 8%
• Prediction 7%
• Three-dimensional 6%
• Demonstrate 5%
• Estimate 4%

Physics & Astronomy

• regression analysis 60%
• fluid flow 56%
• education 16%
• wakes 16%
• confidence 16%
• state estimation 12%
• intervals 12%
• self organizing systems 12%
• circular cylinders 9%
• learning 9%
• approximation 8%
• normal density functions 8%
• standard deviation 7%
• far fields 7%
• engineering 6%
• sensors 5%
• estimates 4%
• predictions 4%
• temperature 2%

Engineering & Materials Science

• Flow of fluids 52%
• Uncertainty 36%
• Neural networks 35%
• Convolutional neural networks 26%
• Gaussian distribution 16%
• Circular cylinders 16%
• Multilayer neural networks 15%
• State estimation 14%
• Network architecture 13%
• Sensors 7%
• Temperature 5%