On transfer learning of neural networks using bi-fidelity data for uncertainty propagation

Keyphrases

• Accuracy Improvement 33%
• Bi-fidelity 100%
• Computationally Expensive 100%
• Deep Neural Network 33%
• Engineering Systems 33%
• Expressiveness 33%
• Gaussian Process Model 66%
• High-Fidelity Dataset 33%
• High-fidelity Model 66%
• Learning Rate 33%
• Low-fidelity Model 33%
• Model Mapping 33%
• Network Parameters 33%
• Neural Network 66%
• Neural Network Learning 100%
• Neural Network Model 33%
• Neural Network Training 33%
• Numerical Examples 33%
• Parameter Update 33%
• Repeated Evaluation 33%
• Simple Neural Network 33%
• Simulation Data 33%
• Standard Transfer 33%
• Stochastic Gradient Descent 33%
• Surrogate Model 33%
• Training Approaches 33%
• Training Data 33%
• Training Procedure 33%
• Transfer Learning 100%
• Transfer Learning Models 66%
• Uncertainty Propagation 100%
• Upper Layer 33%
• Weighted Learning 33%

Computer Science

• Data Simulation 20%
• Deep Neural Network 20%
• gaussian process model 40%
• Learning Rate 20%
• Learning Technique 20%
• Network Parameter 20%
• Neural Network 100%
• Neural Network Model 20%
• Numerical Example 20%
• Stochastic Gradient Descent 20%
• Trained Neural Network 20%
• Training Data 20%
• Transfer Learning 100%
• Uncertainty Propagation 100%