Multi-stage multi-fidelity information correction for artificial neural network based meta-modelling

Mathematics

• Metamodeling 89%
• Artificial Neural Network 72%
• Fidelity 70%
• Surrogate 34%
• Prediction 11%
• Reentry 10%
• Engineering Design 9%
• Parameter Selection 9%
• Hyperparameters 8%
• Aerodynamics 8%
• Selection Procedures 7%
• Computational Efficiency 7%
• Training 7%
• Query 6%
• Paradigm 6%
• Resources 6%
• Correspondence 5%
• Output 5%
• Methodology 5%
• Evaluation 5%
• Costs 5%

Business & Economics

• Metamodeling 100%
• Fidelity 60%
• Artificial Neural Network 59%
• Prediction 11%
• Aerodynamics 10%
• Reentry 10%
• Engineering Design 9%
• Query 7%
• Encompassing 6%
• Approximation 5%
• Paradigm 5%

Engineering & Materials Science

• Neural networks 34%
• Reentry 32%
• Computational efficiency 27%
• Aerodynamics 22%
• Costs 10%